Hate_Speech_Classification-2.ipynb

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  "metadata": {
    "colab": {
      "name": "Hate_Speech_Classification.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "toc_visible": true
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    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GtgfQD2mEzDh"
      },
      "source": [
        "## Import Libraries"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0AFPf0uSBKju"
      },
      "source": [
        "import pandas as pd\r\n",
        "import numpy as np\r\n",
        "\r\n",
        "# visualization\r\n",
        "import matplotlib.pyplot as plt\r\n",
        "import seaborn as sns\r\n",
        "%matplotlib inline\r\n",
        "sns.set(style='darkgrid')\r\n",
        "\r\n",
        "import warnings\r\n",
        "warnings.filterwarnings('ignore')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2CIu3yExFSgQ"
      },
      "source": [
        "## Load Data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "id": "Nj-6MKSXFJzv",
        "outputId": "54b0eae5-74d3-465c-8786-c31522074812"
      },
      "source": [
        "tweet_df = pd.read_csv('https://raw.githubusercontent.com/GigasTaufan/Indonesian-Hate-Speech-Classification/master/hate_speech_dataset.csv')\r\n",
        "tweet_df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Label</th>\n",
              "      <th>Tweet</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>RT @spardaxyz: Fadli Zon Minta Mendagri Segera...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>RT @baguscondromowo: Mereka terus melukai aksi...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>Sylvi: bagaimana gurbernur melakukan kekerasan...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>Ahmad Dhani Tak Puas Debat Pilkada, Masalah Ja...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>RT @lisdaulay28: Waspada KTP palsu.....kawal P...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    Label                                              Tweet\n",
              "0  Non_HS  RT @spardaxyz: Fadli Zon Minta Mendagri Segera...\n",
              "1  Non_HS  RT @baguscondromowo: Mereka terus melukai aksi...\n",
              "2  Non_HS  Sylvi: bagaimana gurbernur melakukan kekerasan...\n",
              "3  Non_HS  Ahmad Dhani Tak Puas Debat Pilkada, Masalah Ja...\n",
              "4  Non_HS  RT @lisdaulay28: Waspada KTP palsu.....kawal P..."
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nSGuPPukGvDw"
      },
      "source": [
        "Terdapat 2 kolom. Label dan Tweet. Kolom Label berisi kelas dari tweet. Kelas Non_HS menandakan bahwa tweet tersebut bukan termasuk kategori hate speech. Kelas HS menandakan bahwa tweet tersebut termasuk kategori hate speech."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "id": "RDNaJ5XwFk8M",
        "outputId": "2576ea50-fcc6-4fa4-89d6-10c8688cff7a"
      },
      "source": [
        "# contoh tweet Non_HS\r\n",
        "tweet_df[tweet_df['Label']=='Non_HS'].head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Label</th>\n",
              "      <th>Tweet</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>RT @spardaxyz: Fadli Zon Minta Mendagri Segera...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>RT @baguscondromowo: Mereka terus melukai aksi...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>Sylvi: bagaimana gurbernur melakukan kekerasan...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>Ahmad Dhani Tak Puas Debat Pilkada, Masalah Ja...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>RT @lisdaulay28: Waspada KTP palsu.....kawal P...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    Label                                              Tweet\n",
              "0  Non_HS  RT @spardaxyz: Fadli Zon Minta Mendagri Segera...\n",
              "1  Non_HS  RT @baguscondromowo: Mereka terus melukai aksi...\n",
              "2  Non_HS  Sylvi: bagaimana gurbernur melakukan kekerasan...\n",
              "3  Non_HS  Ahmad Dhani Tak Puas Debat Pilkada, Masalah Ja...\n",
              "4  Non_HS  RT @lisdaulay28: Waspada KTP palsu.....kawal P..."
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "-3ajxHbYHrYv",
        "outputId": "302aa93d-d376-4a01-9826-a2b28848e2eb"
      },
      "source": [
        "tweet_df['Tweet'][0]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'RT @spardaxyz: Fadli Zon Minta Mendagri Segera Menonaktifkan Ahok Jadi Gubernur DKI https:\\\\/\\\\/t.co\\\\/KH5vIRwPdO'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "id": "kITlUZufHeLk",
        "outputId": "92bc3a84-cd79-487c-b1d8-088cd17b0a2c"
      },
      "source": [
        "# contoh tweet HS\r\n",
        "tweet_df[tweet_df['Label']=='HS'].head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Label</th>\n",
              "      <th>Tweet</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>453</th>\n",
              "      <td>HS</td>\n",
              "      <td>Ini pasti salah Jokowi, Ahok dan kafir-kafir a...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>454</th>\n",
              "      <td>HS</td>\n",
              "      <td>@fahmiabuazzam1 biar aja biar tai nya kena bap...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>455</th>\n",
              "      <td>HS</td>\n",
              "      <td>RT @BungWinar: Angin memporakporandakan basis ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>456</th>\n",
              "      <td>HS</td>\n",
              "      <td>RT @Lupuz0503: Prestasi Ahok, \\nSelain mjadi m...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>457</th>\n",
              "      <td>HS</td>\n",
              "      <td>Ulama Kompak Nyatakan #HaramPemimpinKafir Pili...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    Label                                              Tweet\n",
              "453    HS  Ini pasti salah Jokowi, Ahok dan kafir-kafir a...\n",
              "454    HS  @fahmiabuazzam1 biar aja biar tai nya kena bap...\n",
              "455    HS  RT @BungWinar: Angin memporakporandakan basis ...\n",
              "456    HS  RT @Lupuz0503: Prestasi Ahok, \\nSelain mjadi m...\n",
              "457    HS  Ulama Kompak Nyatakan #HaramPemimpinKafir Pili..."
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "jmH2dJHeHpRp",
        "outputId": "d07a4e22-9291-45a9-d896-7771c03cc224"
      },
      "source": [
        "tweet_df['Tweet'][453]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'Ini pasti salah Jokowi, Ahok dan kafir-kafir ateis. https:\\\\/\\\\/t.co\\\\/v2GRcUeStI'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0DNCDsf4KIBc",
        "outputId": "ed6b56b5-2f25-4a57-f2cf-3936c42703e3"
      },
      "source": [
        "# check missing values\r\n",
        "tweet_df.isnull().sum().sort_values(ascending=False)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Tweet    0\n",
              "Label    0\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9_lk7oM8KNuf"
      },
      "source": [
        "Tidak ada missing values"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "F687omfAH77a"
      },
      "source": [
        "## Class Distribution"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 388
        },
        "id": "62HmkjSIGppq",
        "outputId": "fe42efb2-0e64-4902-ba7c-d5105efa4d4a"
      },
      "source": [
        "print(tweet_df['Label'].value_counts())\r\n",
        "print('\\n')\r\n",
        "print(sns.countplot(tweet_df['Label']))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Non_HS    453\n",
            "HS        260\n",
            "Name: Label, dtype: int64\n",
            "\n",
            "\n",
            "AxesSubplot(0.125,0.125;0.775x0.755)\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "y9eSA2pAI94C"
      },
      "source": [
        "Jumlah kelas Non_HS lebih banyak dari jumlah kelas HS"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hXOQL6hIIIgx",
        "outputId": "32d3da95-32aa-4249-8656-a9fbeff793bd"
      },
      "source": [
        "jum_Non_HS = tweet_df[tweet_df['Label']=='Non_HS']['Label'].count()\r\n",
        "jum_HS = tweet_df[tweet_df['Label']=='HS']['Label'].count()\r\n",
        "\r\n",
        "percent_Non_HS = (jum_Non_HS/(jum_Non_HS+jum_HS)*100)\r\n",
        "percent_HS= (jum_HS/(jum_Non_HS+jum_Non_HS))*100\r\n",
        "print(percent_Non_HS)\r\n",
        "print(percent_HS)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "63.5343618513324\n",
            "28.697571743929362\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lTJk7l5XffGe",
        "outputId": "0da4f1c3-65bf-4d8d-cd49-f4374d6fcace"
      },
      "source": [
        "# info dataset\r\n",
        "tweet_df.info()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 713 entries, 0 to 712\n",
            "Data columns (total 2 columns):\n",
            " #   Column  Non-Null Count  Dtype \n",
            "---  ------  --------------  ----- \n",
            " 0   Label   713 non-null    object\n",
            " 1   Tweet   713 non-null    object\n",
            "dtypes: object(2)\n",
            "memory usage: 11.3+ KB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        },
        "id": "7mVheNAifxIT",
        "outputId": "79986185-75b0-48fd-c3cc-a2076a43c13b"
      },
      "source": [
        "# describe dataset\r\n",
        "tweet_df.describe()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Label</th>\n",
              "      <th>Tweet</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>713</td>\n",
              "      <td>713</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>unique</th>\n",
              "      <td>2</td>\n",
              "      <td>703</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>top</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>jangan ada keberpihakan dalam badan hukum kare...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>freq</th>\n",
              "      <td>453</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         Label                                              Tweet\n",
              "count      713                                                713\n",
              "unique       2                                                703\n",
              "top     Non_HS  jangan ada keberpihakan dalam badan hukum kare...\n",
              "freq       453                                                  2"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 506
        },
        "id": "lALZnT76fzrw",
        "outputId": "22ccdcdc-27f4-4e89-eff2-c93092aa56fe"
      },
      "source": [
        "tweet_df['length'] = tweet_df['Tweet'].apply(len)\r\n",
        "tweet_df.hist(column='length', by='Label', bins=30, figsize=(12,7))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([<matplotlib.axes._subplots.AxesSubplot object at 0x7ff8d46d6080>,\n",
              "       <matplotlib.axes._subplots.AxesSubplot object at 0x7ff8d4686710>],\n",
              "      dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x504 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 302
        },
        "id": "d69mOIeGhNIY",
        "outputId": "a513df03-5b27-44f5-d309-fc36fea64ad7"
      },
      "source": [
        "fig1 = sns.barplot(x='Label',y='length',data = tweet_df)\r\n",
        "plt.title('Average Word Length vs label')\r\n",
        "plot = fig1.get_figure()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tGyq5-0gLGDz"
      },
      "source": [
        "## Preprocessing"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "af12uULrWF4t"
      },
      "source": [
        "df =tweet_df.copy()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "f902ED8TMH_X"
      },
      "source": [
        "### Case Folding"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7Qhxl8nQMKjx"
      },
      "source": [
        "import re"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vF1a1F98MJ0a"
      },
      "source": [
        "def case_folding(data):\r\n",
        "  temp_tweet = []\r\n",
        "\r\n",
        "  for tw in data:\r\n",
        "    # removal of @name[mention]\r\n",
        "    tw = re.sub(r\"(?:\\@|https?\\://)\\S+\", \"\", tw)\r\n",
        "\r\n",
        "    # removal of links[https://blabala.com]\r\n",
        "    # tw = re.sub(r\"http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\\(\\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+\", \"\", tw)\r\n",
        "    tw = re.sub(r\"http\\S+\", \"\", tw)\r\n",
        "\r\n",
        "    # removal of new line\r\n",
        "    tw = re.sub('\\n', '', tw)\r\n",
        "\r\n",
        "    # removal of RT\r\n",
        "    tw = re.sub('RT', '', tw)\r\n",
        "\r\n",
        "    # removal of punctuations and numbers\r\n",
        "    tw = re.sub(\"[^a-zA-Z^']\", \" \", tw)\r\n",
        "    tw = re.sub(\" {2,}\", \" \", tw)\r\n",
        "\r\n",
        "    # remove leading and trailing whitespace\r\n",
        "    tw = tw.strip()\r\n",
        "\r\n",
        "    # remove whitespace with a single space\r\n",
        "    tw = re.sub(r'\\s+', ' ', tw)\r\n",
        "\r\n",
        "    # convert text to Lowercase\r\n",
        "    tw = tw.lower();\r\n",
        "    temp_tweet.append(tw)\r\n",
        "  return temp_tweet"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "id": "aVc5k8M1MWaw",
        "outputId": "eaa8b145-fbb5-4683-8884-bd58fc38b25b"
      },
      "source": [
        "df['Case_folded']=case_folding(df['Tweet'])\r\n",
        "df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Label</th>\n",
              "      <th>Tweet</th>\n",
              "      <th>length</th>\n",
              "      <th>Case_folded</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>RT @spardaxyz: Fadli Zon Minta Mendagri Segera...</td>\n",
              "      <td>110</td>\n",
              "      <td>fadli zon minta mendagri segera menonaktifkan ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>RT @baguscondromowo: Mereka terus melukai aksi...</td>\n",
              "      <td>108</td>\n",
              "      <td>mereka terus melukai aksi dalam rangka memenja...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>Sylvi: bagaimana gurbernur melakukan kekerasan...</td>\n",
              "      <td>116</td>\n",
              "      <td>sylvi bagaimana gurbernur melakukan kekerasan ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>Ahmad Dhani Tak Puas Debat Pilkada, Masalah Ja...</td>\n",
              "      <td>115</td>\n",
              "      <td>ahmad dhani tak puas debat pilkada masalah jal...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>RT @lisdaulay28: Waspada KTP palsu.....kawal P...</td>\n",
              "      <td>79</td>\n",
              "      <td>waspada ktp palsu kawal pilkada</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    Label  ...                                        Case_folded\n",
              "0  Non_HS  ...  fadli zon minta mendagri segera menonaktifkan ...\n",
              "1  Non_HS  ...  mereka terus melukai aksi dalam rangka memenja...\n",
              "2  Non_HS  ...  sylvi bagaimana gurbernur melakukan kekerasan ...\n",
              "3  Non_HS  ...  ahmad dhani tak puas debat pilkada masalah jal...\n",
              "4  Non_HS  ...                    waspada ktp palsu kawal pilkada\n",
              "\n",
              "[5 rows x 4 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "d-slQICwLID8"
      },
      "source": [
        "### Tokenize"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BuyttkYoMtE4",
        "outputId": "ea8fd3fc-4935-4739-8f55-6a1b40c42a6c"
      },
      "source": [
        "import nltk\r\n",
        "nltk.download('punkt')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[nltk_data] Downloading package punkt to /root/nltk_data...\n",
            "[nltk_data]   Package punkt is already up-to-date!\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KeyGm5vgMrQ6"
      },
      "source": [
        "def tokenized(data):\r\n",
        "  return data.apply(nltk.word_tokenize)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "id": "PMM5n5BcM_Wn",
        "outputId": "3fe7fd8f-35bd-472b-b82f-44200b1f18fd"
      },
      "source": [
        "df['Tokenized']=tokenized(df['Case_folded'])\r\n",
        "df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Label</th>\n",
              "      <th>Tweet</th>\n",
              "      <th>length</th>\n",
              "      <th>Case_folded</th>\n",
              "      <th>Tokenized</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>RT @spardaxyz: Fadli Zon Minta Mendagri Segera...</td>\n",
              "      <td>110</td>\n",
              "      <td>fadli zon minta mendagri segera menonaktifkan ...</td>\n",
              "      <td>[fadli, zon, minta, mendagri, segera, menonakt...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>RT @baguscondromowo: Mereka terus melukai aksi...</td>\n",
              "      <td>108</td>\n",
              "      <td>mereka terus melukai aksi dalam rangka memenja...</td>\n",
              "      <td>[mereka, terus, melukai, aksi, dalam, rangka, ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>Sylvi: bagaimana gurbernur melakukan kekerasan...</td>\n",
              "      <td>116</td>\n",
              "      <td>sylvi bagaimana gurbernur melakukan kekerasan ...</td>\n",
              "      <td>[sylvi, bagaimana, gurbernur, melakukan, keker...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>Ahmad Dhani Tak Puas Debat Pilkada, Masalah Ja...</td>\n",
              "      <td>115</td>\n",
              "      <td>ahmad dhani tak puas debat pilkada masalah jal...</td>\n",
              "      <td>[ahmad, dhani, tak, puas, debat, pilkada, masa...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>RT @lisdaulay28: Waspada KTP palsu.....kawal P...</td>\n",
              "      <td>79</td>\n",
              "      <td>waspada ktp palsu kawal pilkada</td>\n",
              "      <td>[waspada, ktp, palsu, kawal, pilkada]</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    Label  ...                                          Tokenized\n",
              "0  Non_HS  ...  [fadli, zon, minta, mendagri, segera, menonakt...\n",
              "1  Non_HS  ...  [mereka, terus, melukai, aksi, dalam, rangka, ...\n",
              "2  Non_HS  ...  [sylvi, bagaimana, gurbernur, melakukan, keker...\n",
              "3  Non_HS  ...  [ahmad, dhani, tak, puas, debat, pilkada, masa...\n",
              "4  Non_HS  ...              [waspada, ktp, palsu, kawal, pilkada]\n",
              "\n",
              "[5 rows x 5 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9XxX6iV4Vbf4"
      },
      "source": [
        "### Stemming"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gMSRs5rxVfe4",
        "outputId": "d69d7d71-08ab-4ecb-c395-9a370a7fc891"
      },
      "source": [
        "!pip install Sastrawi"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: Sastrawi in /usr/local/lib/python3.6/dist-packages (1.0.1)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oSta1GfsVrLe"
      },
      "source": [
        "from Sastrawi.Stemmer.StemmerFactory import StemmerFactory"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5-ji8S0wVxLM"
      },
      "source": [
        "def stemming(data):\r\n",
        "  factory = StemmerFactory()\r\n",
        "  stemmer = factory.create_stemmer()\r\n",
        "\r\n",
        "  return [stemmer.stem(tweet) for tweet in data]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "id": "l3W0jTT8WBXc",
        "outputId": "aa4d8018-5a05-4921-f3bd-b2809c421aca"
      },
      "source": [
        "df['Stemmed'] = df['Tokenized'].apply(stemming)\r\n",
        "df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Label</th>\n",
              "      <th>Tweet</th>\n",
              "      <th>length</th>\n",
              "      <th>Case_folded</th>\n",
              "      <th>Tokenized</th>\n",
              "      <th>Stemmed</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>RT @spardaxyz: Fadli Zon Minta Mendagri Segera...</td>\n",
              "      <td>110</td>\n",
              "      <td>fadli zon minta mendagri segera menonaktifkan ...</td>\n",
              "      <td>[fadli, zon, minta, mendagri, segera, menonakt...</td>\n",
              "      <td>[fadli, zon, minta, mendagri, segera, nonaktif...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>RT @baguscondromowo: Mereka terus melukai aksi...</td>\n",
              "      <td>108</td>\n",
              "      <td>mereka terus melukai aksi dalam rangka memenja...</td>\n",
              "      <td>[mereka, terus, melukai, aksi, dalam, rangka, ...</td>\n",
              "      <td>[mereka, terus, luka, aksi, dalam, rangka, pen...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>Sylvi: bagaimana gurbernur melakukan kekerasan...</td>\n",
              "      <td>116</td>\n",
              "      <td>sylvi bagaimana gurbernur melakukan kekerasan ...</td>\n",
              "      <td>[sylvi, bagaimana, gurbernur, melakukan, keker...</td>\n",
              "      <td>[sylvi, bagaimana, gurbernur, laku, keras, per...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>Ahmad Dhani Tak Puas Debat Pilkada, Masalah Ja...</td>\n",
              "      <td>115</td>\n",
              "      <td>ahmad dhani tak puas debat pilkada masalah jal...</td>\n",
              "      <td>[ahmad, dhani, tak, puas, debat, pilkada, masa...</td>\n",
              "      <td>[ahmad, dhani, tak, puas, debat, pilkada, masa...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>RT @lisdaulay28: Waspada KTP palsu.....kawal P...</td>\n",
              "      <td>79</td>\n",
              "      <td>waspada ktp palsu kawal pilkada</td>\n",
              "      <td>[waspada, ktp, palsu, kawal, pilkada]</td>\n",
              "      <td>[waspada, ktp, palsu, kawal, pilkada]</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    Label  ...                                            Stemmed\n",
              "0  Non_HS  ...  [fadli, zon, minta, mendagri, segera, nonaktif...\n",
              "1  Non_HS  ...  [mereka, terus, luka, aksi, dalam, rangka, pen...\n",
              "2  Non_HS  ...  [sylvi, bagaimana, gurbernur, laku, keras, per...\n",
              "3  Non_HS  ...  [ahmad, dhani, tak, puas, debat, pilkada, masa...\n",
              "4  Non_HS  ...              [waspada, ktp, palsu, kawal, pilkada]\n",
              "\n",
              "[5 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IgfFaHh7aJsy"
      },
      "source": [
        "### Slang Words Removal"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ySGMVSgKcY1i"
      },
      "source": [
        "import requests"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JsdYHrBvWqeV"
      },
      "source": [
        "slang_word = requests.get('https://raw.githubusercontent.com/louisowen6/NLP_bahasa_resources/master/combined_slang_words.txt').text\r\n",
        "dict_slang = eval(slang_word)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "umLpEKOwcXlc",
        "outputId": "9b935de7-ad3f-4f6b-af73-60ae79486a38"
      },
      "source": [
        "dict_slang.items()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "dict_items([('@', 'di'), ('abis', 'habis'), ('ad', 'ada'), ('adlh', 'adalah'), ('afaik', 'as far as i know'), ('ahaha', 'haha'), ('aj', 'saja'), ('ajep-ajep', 'dunia gemerlap'), ('ak', 'saya'), ('akika', 'aku'), ('akkoh', 'aku'), ('akuwh', 'aku'), ('alay', 'norak'), ('alow', 'halo'), ('ambilin', 'ambilkan'), ('ancur', 'hancur'), ('anjrit', 'anjing'), ('anter', 'antar'), ('ap2', 'apa-apa'), ('apasih', 'apa sih'), ('apes', 'sial'), ('aps', 'apa'), ('aq', 'saya'), ('aquwh', 'aku'), ('asbun', 'asal bunyi'), ('aseekk', 'asyik'), ('asekk', 'asyik'), ('asem', 'asam'), ('aspal', 'asli tetapi palsu'), ('astul', 'asal tulis'), ('ato', 'atau'), ('au ah', 'tidak mau tahu'), ('awak', 'saya'), ('ay', 'sayang'), ('ayank', 'sayang'), ('b4', 'sebelum'), ('bakalan', 'akan'), ('bandes', 'bantuan desa'), ('bangedh', 'banget'), ('banpol', 'bantuan polisi'), ('banpur', 'bantuan tempur'), ('basbang', 'basi'), ('bcanda', 'bercanda'), ('bdg', 'bandung'), ('begajulan', 'nakal'), ('beliin', 'belikan'), ('bencong', 'banci'), ('bentar', 'sebentar'), ('ber3', 'bertiga'), ('beresin', 'membereskan'), ('bete', 'bosan'), ('beud', 'banget'), ('bg', 'abang'), ('bgmn', 'bagaimana'), ('bgt', 'banget'), ('bijimane', 'bagaimana'), ('bintal', 'bimbingan mental'), ('bkl', 'akan'), ('bknnya', 'bukannya'), ('blegug', 'bodoh'), ('blh', 'boleh'), ('bln', 'bulan'), ('blum', 'belum'), ('bnci', 'benci'), ('bnran', 'yang benar'), ('bodor', 'lucu'), ('bokap', 'ayah'), ('boker', 'buang air besar'), ('bokis', 'bohong'), ('boljug', 'boleh juga'), ('bonek', 'bocah nekat'), ('boyeh', 'boleh'), ('br', 'baru'), ('brg', 'bareng'), ('bro', 'saudara laki-laki'), ('bru', 'baru'), ('bs', 'bisa'), ('bsen', 'bosan'), ('bt', 'buat'), ('btw', 'ngomong-ngomong'), ('buaya', 'tidak setia'), ('bubbu', 'tidur'), ('bubu', 'tidur'), ('bumil', 'ibu hamil'), ('bw', 'bawa'), ('bwt', 'buat'), ('byk', 'banyak'), ('byrin', 'bayarkan'), ('cabal', 'sabar'), ('cadas', 'keren'), ('calo', 'makelar'), ('can', 'belum'), ('capcus', 'pergi'), ('caper', 'cari perhatian'), ('ce', 'cewek'), ('cekal', 'cegah tangkal'), ('cemen', 'penakut'), ('cengengesan', 'tertawa'), ('cepet', 'cepat'), ('cew', 'cewek'), ('chuyunk', 'sayang'), ('cimeng', 'ganja'), ('cipika cipiki', 'cium pipi kanan cium pipi kiri'), ('ciyh', 'sih'), ('ckepp', 'cakep'), ('ckp', 'cakep'), ('cmiiw', \"correct me if i'm wrong\"), ('cmpur', 'campur'), ('cong', 'banci'), ('conlok', 'cinta lokasi'), ('cowwyy', 'maaf'), ('cp', 'siapa'), ('cpe', 'capek'), ('cppe', 'capek'), ('cucok', 'cocok'), ('cuex', 'cuek'), ('cumi', 'Cuma miscall'), ('cups', 'culun'), ('curanmor', 'pencurian kendaraan bermotor'), ('curcol', 'curahan hati colongan'), ('cwek', 'cewek'), ('cyin', 'cinta'), ('d', 'di'), ('dah', 'deh'), ('dapet', 'dapat'), ('de', 'adik'), ('dek', 'adik'), ('demen', 'suka'), ('deyh', 'deh'), ('dgn', 'dengan'), ('diancurin', 'dihancurkan'), ('dimaafin', 'dimaafkan'), ('dimintak', 'diminta'), ('disono', 'di sana'), ('dket', 'dekat'), ('dkk', 'dan kawan-kawan'), ('dll', 'dan lain-lain'), ('dlu', 'dulu'), ('dngn', 'dengan'), ('dodol', 'bodoh'), ('doku', 'uang'), ('dongs', 'dong'), ('dpt', 'dapat'), ('dri', 'dari'), ('drmn', 'darimana'), ('drtd', 'dari tadi'), ('dst', 'dan seterusnya'), ('dtg', 'datang'), ('duh', 'aduh'), ('duren', 'durian'), ('ed', 'edisi'), ('egp', 'emang gue pikirin'), ('eke', 'aku'), ('elu', 'kamu'), ('emangnya', 'memangnya'), ('emng', 'memang'), ('endak', 'tidak'), ('enggak', 'tidak'), ('envy', 'iri'), ('ex', 'mantan'), ('fax', 'facsimile'), ('fifo', 'first in first out'), ('folbek', 'follow back'), ('fyi', 'sebagai informasi'), ('gaada', 'tidak ada uang'), ('gag', 'tidak'), ('gaje', 'tidak jelas'), ('gak papa', 'tidak apa-apa'), ('gan', 'juragan'), ('gaptek', 'gagap teknologi'), ('gatek', 'gagap teknologi'), ('gawe', 'kerja'), ('gbs', 'tidak bisa'), ('gebetan', 'orang yang disuka'), ('geje', 'tidak jelas'), ('gepeng', 'gelandangan dan pengemis'), ('ghiy', 'lagi'), ('gile', 'gila'), ('gimana', 'bagaimana'), ('gino', 'gigi nongol'), ('githu', 'gitu'), ('gj', 'tidak jelas'), ('gmana', 'bagaimana'), ('gn', 'begini'), ('goblok', 'bodoh'), ('golput', 'golongan putih'), ('gowes', 'mengayuh sepeda'), ('gpny', 'tidak punya'), ('gr', 'gede rasa'), ('gretongan', 'gratisan'), ('gtau', 'tidak tahu'), ('gua', 'saya'), ('guoblok', 'goblok'), ('gw', 'saya'), ('ha', 'tertawa'), ('haha', 'tertawa'), ('hallow', 'halo'), ('hankam', 'pertahanan dan keamanan'), ('hehe', 'he'), ('helo', 'halo'), ('hey', 'hai'), ('hlm', 'halaman'), ('hny', 'hanya'), ('hoax', 'isu bohong'), ('hr', 'hari'), ('hrus', 'harus'), ('hubdar', 'perhubungan darat'), ('huff', 'mengeluh'), ('hum', 'rumah'), ('humz', 'rumah'), ('ilang', 'hilang'), ('ilfil', 'tidak suka'), ('imho', 'in my humble opinion'), ('imoetz', 'imut'), ('item', 'hitam'), ('itungan', 'hitungan'), ('iye', 'iya'), ('ja', 'saja'), ('jadiin', 'jadi'), ('jaim', 'jaga image'), ('jayus', 'tidak lucu'), ('jdi', 'jadi'), ('jem', 'jam'), ('jga', 'juga'), ('jgnkan', 'jangankan'), ('jir', 'anjing'), ('jln', 'jalan'), ('jomblo', 'tidak punya pacar'), ('jubir', 'juru bicara'), ('jutek', 'galak'), ('k', 'ke'), ('kab', 'kabupaten'), ('kabor', 'kabur'), ('kacrut', 'kacau'), ('kadiv', 'kepala divisi'), ('kagak', 'tidak'), ('kalo', 'kalau'), ('kampret', 'sialan'), ('kamtibmas', 'keamanan dan ketertiban masyarakat'), ('kamuwh', 'kamu'), ('kanwil', 'kantor wilayah'), ('karna', 'karena'), ('kasubbag', 'kepala subbagian'), ('katrok', 'kampungan'), ('kayanya', 'kayaknya'), ('kbr', 'kabar'), ('kdu', 'harus'), ('kec', 'kecamatan'), ('kejurnas', 'kejuaraan nasional'), ('kekeuh', 'keras kepala'), ('kel', 'kelurahan'), ('kemaren', 'kemarin'), ('kepengen', 'mau'), ('kepingin', 'mau'), ('kepsek', 'kepala sekolah'), ('kesbang', 'kesatuan bangsa'), ('kesra', 'kesejahteraan rakyat'), ('ketrima', 'diterima'), ('kgiatan', 'kegiatan'), ('kibul', 'bohong'), ('kimpoi', 'kawin'), ('kl', 'kalau'), ('klianz', 'kalian'), ('kloter', 'kelompok terbang'), ('klw', 'kalau'), ('km', 'kamu'), ('kmps', 'kampus'), ('kmrn', 'kemarin'), ('knal', 'kenal'), ('knp', 'kenapa'), ('kodya', 'kota madya'), ('komdis', 'komisi disiplin'), ('komsov', 'komunis sovyet'), ('kongkow', 'kumpul bareng teman-teman'), ('kopdar', 'kopi darat'), ('korup', 'korupsi'), ('kpn', 'kapan'), ('krenz', 'keren'), ('krm', 'kirim'), ('kt', 'kita'), ('ktmu', 'ketemu'), ('ktr', 'kantor'), ('kuper', 'kurang pergaulan'), ('kw', 'imitasi'), ('kyk', 'seperti'), ('la', 'lah'), ('lam', 'salam'), ('lamp', 'lampiran'), ('lanud', 'landasan udara'), ('latgab', 'latihan gabungan'), ('lebay', 'berlebihan'), ('leh', 'boleh'), ('lelet', 'lambat'), ('lemot', 'lambat'), ('lgi', 'lagi'), ('lgsg', 'langsung'), ('liat', 'lihat'), ('litbang', 'penelitian dan pengembangan'), ('lmyn', 'lumayan'), ('lo', 'kamu'), ('loe', 'kamu'), ('lola', 'lambat berfikir'), ('louph', 'cinta'), ('low', 'kalau'), ('lp', 'lupa'), ('luber', 'langsung, umum, bebas, dan rahasia'), ('luchuw', 'lucu'), ('lum', 'belum'), ('luthu', 'lucu'), ('lwn', 'lawan'), ('maacih', 'terima kasih'), ('mabal', 'bolos'), ('macem', 'macam'), ('macih', 'masih'), ('maem', 'makan'), ('magabut', 'makan gaji buta'), ('maho', 'homo'), ('mak jang', 'kaget'), ('maksain', 'memaksa'), ('malem', 'malam'), ('mam', 'makan'), ('maneh', 'kamu'), ('maniez', 'manis'), ('mao', 'mau'), ('masukin', 'masukkan'), ('melu', 'ikut'), ('mepet', 'dekat sekali'), ('mgu', 'minggu'), ('migas', 'minyak dan gas bumi'), ('mikol', 'minuman beralkohol'), ('miras', 'minuman keras'), ('mlah', 'malah'), ('mngkn', 'mungkin'), ('mo', 'mau'), ('mokad', 'mati'), ('moso', 'masa'), ('mpe', 'sampai'), ('msk', 'masuk'), ('mslh', 'masalah'), ('mt', 'makan teman'), ('mubes', 'musyawarah besar'), ('mulu', 'melulu'), ('mumpung', 'selagi'), ('munas', 'musyawarah nasional'), ('muntaber', 'muntah dan berak'), ('musti', 'mesti'), ('muupz', 'maaf'), ('mw', 'now watching'), ('n', 'dan'), ('nanam', 'menanam'), ('nanya', 'bertanya'), ('napa', 'kenapa'), ('napi', 'narapidana'), ('napza', 'narkotika, alkohol, psikotropika, dan zat adiktif '), ('narkoba', 'narkotika, psikotropika, dan obat terlarang'), ('nasgor', 'nasi goreng'), ('nda', 'tidak'), ('ndiri', 'sendiri'), ('ne', 'ini'), ('nekolin', 'neokolonialisme'), ('nembak', 'menyatakan cinta'), ('ngabuburit', 'menunggu berbuka puasa'), ('ngaku', 'mengaku'), ('ngambil', 'mengambil'), ('nganggur', 'tidak punya pekerjaan'), ('ngapah', 'kenapa'), ('ngaret', 'terlambat'), ('ngasih', 'memberikan'), ('ngebandel', 'berbuat bandel'), ('ngegosip', 'bergosip'), ('ngeklaim', 'mengklaim'), ('ngeksis', 'menjadi eksis'), ('ngeles', 'berkilah'), ('ngelidur', 'menggigau'), ('ngerampok', 'merampok'), ('ngga', 'tidak'), ('ngibul', 'berbohong'), ('ngiler', 'mau'), ('ngiri', 'iri'), ('ngisiin', 'mengisikan'), ('ngmng', 'bicara'), ('ngomong', 'bicara'), ('ngubek2', 'mencari-cari'), ('ngurus', 'mengurus'), ('nie', 'ini'), ('nih', 'ini'), ('niyh', 'nih'), ('nmr', 'nomor'), ('nntn', 'nonton'), ('nobar', 'nonton bareng'), ('np', 'now playing'), ('ntar', 'nanti'), ('ntn', 'nonton'), ('numpuk', 'bertumpuk'), ('nutupin', 'menutupi'), ('nyari', 'mencari'), ('nyekar', 'menyekar'), ('nyicil', 'mencicil'), ('nyoblos', 'mencoblos'), ('nyokap', 'ibu'), ('ogah', 'tidak mau'), ('ol', 'online'), ('ongkir', 'ongkos kirim'), ('oot', 'out of topic'), ('org2', 'orang-orang'), ('ortu', 'orang tua'), ('otda', 'otonomi daerah'), ('otw', 'on the way, sedang di jalan'), ('pacal', 'pacar'), ('pake', 'pakai'), ('pala', 'kepala'), ('pansus', 'panitia khusus'), ('parpol', 'partai politik'), ('pasutri', 'pasangan suami istri'), ('pd', 'pada'), ('pede', 'percaya diri'), ('pelatnas', 'pemusatan latihan nasional'), ('pemda', 'pemerintah daerah'), ('pemkot', 'pemerintah kota'), ('pemred', 'pemimpin redaksi'), ('penjas', 'pendidikan jasmani'), ('perda', 'peraturan daerah'), ('perhatiin', 'perhatikan'), ('pesenan', 'pesanan'), ('pgang', 'pegang'), ('pi', 'tapi'), ('pilkada', 'pemilihan kepala daerah'), ('pisan', 'sangat'), ('pk', 'penjahat kelamin'), ('plg', 'paling'), ('pmrnth', 'pemerintah'), ('polantas', 'polisi lalu lintas'), ('ponpes', 'pondok pesantren'), ('pp', 'pulang pergi'), ('prg', 'pergi'), ('prnh', 'pernah'), ('psen', 'pesan'), ('pst', 'pasti'), ('pswt', 'pesawat'), ('pw', 'posisi nyaman'), ('qmu', 'kamu'), ('rakor', 'rapat koordinasi'), ('ranmor', 'kendaraan bermotor'), ('re', 'reply'), ('ref', 'referensi'), ('rehab', 'rehabilitasi'), ('rempong', 'sulit'), ('repp', 'balas'), ('restik', 'reserse narkotika'), ('rhs', 'rahasia'), ('rmh', 'rumah'), ('ru', 'baru'), ('ruko', 'rumah toko'), ('rusunawa', 'rumah susun sewa'), ('ruz', 'terus'), ('saia', 'saya'), ('salting', 'salah tingkah'), ('sampe', 'sampai'), ('samsek', 'sama sekali'), ('sapose', 'siapa'), ('satpam', 'satuan pengamanan'), ('sbb', 'sebagai berikut'), ('sbh', 'sebuah'), ('sbnrny', 'sebenarnya'), ('scr', 'secara'), ('sdgkn', 'sedangkan'), ('sdkt', 'sedikit'), ('se7', 'setuju'), ('sebelas dua belas', 'mirip'), ('sembako', 'sembilan bahan pokok'), ('sempet', 'sempat'), ('sendratari', 'seni drama tari'), ('sgt', 'sangat'), ('shg', 'sehingga'), ('siech', 'sih'), ('sikon', 'situasi dan kondisi'), ('sinetron', 'sinema elektronik'), ('siramin', 'siramkan'), ('sj', 'saja'), ('skalian', 'sekalian'), ('sklh', 'sekolah'), ('skt', 'sakit'), ('slesai', 'selesai'), ('sll', 'selalu'), ('slma', 'selama'), ('slsai', 'selesai'), ('smpt', 'sempat'), ('smw', 'semua'), ('sndiri', 'sendiri'), ('soljum', 'sholat jumat'), ('songong', 'sombong'), ('sory', 'maaf'), ('sosek', 'sosial-ekonomi'), ('sotoy', 'sok tahu'), ('spa', 'siapa'), ('sppa', 'siapa'), ('spt', 'seperti'), ('srtfkt', 'sertifikat'), ('stiap', 'setiap'), ('stlh', 'setelah'), ('suk', 'masuk'), ('sumpek', 'sempit'), ('syg', 'sayang'), ('t4', 'tempat'), ('tajir', 'kaya'), ('tau', 'tahu'), ('taw', 'tahu'), ('td', 'tadi'), ('tdk', 'tidak'), ('teh', 'kakak perempuan'), ('telat', 'terlambat'), ('telmi', 'telat berpikir'), ('temen', 'teman'), ('tengil', 'menyebalkan'), ('tepar', 'terkapar'), ('tggu', 'tunggu'), ('tgu', 'tunggu'), ('thankz', 'terima kasih'), ('thn', 'tahun'), ('tilang', 'bukti pelanggaran'), ('tipiwan', 'TvOne'), ('tks', 'terima kasih'), ('tlp', 'telepon'), ('tls', 'tulis'), ('tmbah', 'tambah'), ('tmen2', 'teman-teman'), ('tmpah', 'tumpah'), ('tmpt', 'tempat'), ('tngu', 'tunggu'), ('tnyta', 'ternyata'), ('tokai', 'tai'), ('toserba', 'toko serba ada'), ('tpi', 'tapi'), ('trdhulu', 'terdahulu'), ('trima', 'terima kasih'), ('trm', 'terima'), ('trs', 'terus'), ('trutama', 'terutama'), ('ts', 'penulis'), ('tst', 'tahu sama tahu'), ('ttg', 'tentang'), ('tuch', 'tuh'), ('tuir', 'tua'), ('tw', 'tahu'), ('u', 'kamu'), ('ud', 'sudah'), ('udah', 'sudah'), ('ujg', 'ujung'), ('ul', 'ulangan'), ('unyu', 'lucu'), ('uplot', 'unggah'), ('urang', 'saya'), ('usah', 'perlu'), ('utk', 'untuk'), ('valas', 'valuta asing'), ('w/', 'dengan'), ('wadir', 'wakil direktur'), ('wamil', 'wajib militer'), ('warkop', 'warung kopi'), ('warteg', 'warung tegal'), ('wat', 'buat'), ('wkt', 'waktu'), ('wtf', 'what the fuck'), ('xixixi', 'tertawa'), ('ya', 'iya'), ('yap', 'iya'), ('yaudah', 'ya sudah'), ('yawdah', 'ya sudah'), ('yg', 'yang'), ('yl', 'yang lain'), ('yo', 'iya'), ('yowes', 'ya sudah'), ('yup', 'iya'), ('7an', 'tujuan'), ('ababil', 'abg labil'), ('acc', 'accord'), ('adlah', 'adalah'), ('adoh', 'aduh'), ('aha', 'tertawa'), ('aing', 'saya'), ('aja', 'saja'), ('ajj', 'saja'), ('aka', 'dikenal juga sebagai'), ('akko', 'aku'), ('akku', 'aku'), ('akyu', 'aku'), ('aljasa', 'asal jadi saja'), ('ama', 'sama'), ('ambl', 'ambil'), ('anjir', 'anjing'), ('ank', 'anak'), ('ap', 'apa'), ('apaan', 'apa'), ('ape', 'apa'), ('aplot', 'unggah'), ('apva', 'apa'), ('aqu', 'aku'), ('asap', 'sesegera mungkin'), ('aseek', 'asyik'), ('asek', 'asyik'), ('aseknya', 'asyiknya'), ('asoy', 'asyik'), ('astrojim', 'astagfirullahaladzim'), ('ath', 'kalau begitu'), ('atuh', 'kalau begitu'), ('ava', 'avatar'), ('aws', 'awas'), ('ayang', 'sayang'), ('ayok', 'ayo'), ('bacot', 'banyak bicara'), ('bales', 'balas'), ('bangdes', 'pembangunan desa'), ('bangkotan', 'tua'), ('banpres', 'bantuan presiden'), ('bansarkas', 'bantuan sarana kesehatan'), ('bazis', 'badan amal, zakat, infak, dan sedekah'), ('bcoz', 'karena'), ('beb', 'sayang'), ('bejibun', 'banyak'), ('belom', 'belum'), ('bener', 'benar'), ('ber2', 'berdua'), ('berdikari', 'berdiri di atas kaki sendiri'), ('bet', 'banget'), ('beti', 'beda tipis'), ('beut', 'banget'), ('bgd', 'banget'), ('bgs', 'bagus'), ('bhubu', 'tidur'), ('bimbuluh', 'bimbingan dan penyuluhan'), ('bisi', 'kalau-kalau'), ('bkn', 'bukan'), ('bl', 'beli'), ('blg', 'bilang'), ('blm', 'belum'), ('bls', 'balas'), ('bnchi', 'benci'), ('bngung', 'bingung'), ('bnyk', 'banyak'), ('bohay', 'badan aduhai'), ('bokep', 'porno'), ('bokin', 'pacar'), ('bole', 'boleh'), ('bolot', 'bodoh'), ('bonyok', 'ayah ibu'), ('bpk', 'bapak'), ('brb', 'segera kembali'), ('brngkt', 'berangkat'), ('brp', 'berapa'), ('brur', 'saudara laki-laki'), ('bsa', 'bisa'), ('bsk', 'besok'), ('bu_bu', 'tidur'), ('bubarin', 'bubarkan'), ('buber', 'buka bersama'), ('bujubune', 'luar biasa'), ('buser', 'buru sergap'), ('bwhn', 'bawahan'), ('byar', 'bayar'), ('byr', 'bayar'), ('c8', 'chat'), ('cabut', 'pergi'), ('caem', 'cakep'), ('cama-cama', 'sama-sama'), ('cangcut', 'celana dalam'), ('cape', 'capek'), ('caur', 'jelek'), ('cekak', 'tidak ada uang'), ('cekidot', 'coba lihat'), ('cemplungin', 'cemplungkan'), ('ceper', 'pendek'), ('ceu', 'kakak perempuan'), ('cewe', 'cewek'), ('cibuk', 'sibuk'), ('cin', 'cinta'), ('ciye', 'cie'), ('ckck', 'ck'), ('clbk', 'cinta lama bersemi kembali'), ('cmpr', 'campur'), ('cnenk', 'senang'), ('congor', 'mulut'), ('cow', 'cowok'), ('coz', 'karena'), ('cpa', 'siapa'), ('gokil', 'gila'), ('gombal', 'suka merayu'), ('gpl', 'tidak pakai lama'), ('gpp', 'tidak apa-apa'), ('gretong', 'gratis'), ('gt', 'begitu'), ('gtw', 'tidak tahu'), ('gue', 'saya'), ('guys', 'teman-teman'), ('gws', 'cepat sembuh'), ('haghaghag', 'tertawa'), ('hakhak', 'tertawa'), ('handak', 'bahan peledak'), ('hansip', 'pertahanan sipil'), ('hellow', 'halo'), ('helow', 'halo'), ('hi', 'hai'), ('hlng', 'hilang'), ('hnya', 'hanya'), ('houm', 'rumah'), ('hrs', 'harus'), ('hubad', 'hubungan angkatan darat'), ('hubla', 'perhubungan laut'), ('huft', 'mengeluh'), ('humas', 'hubungan masyarakat'), ('idk', 'saya tidak tahu'), ('ilfeel', 'tidak suka'), ('imba', 'jago sekali'), ('imoet', 'imut'), ('info', 'informasi'), ('itung', 'hitung'), ('isengin', 'bercanda'), ('iyala', 'iya lah'), ('iyo', 'iya'), ('jablay', 'jarang dibelai'), ('jadul', 'jaman dulu'), ('jancuk', 'anjing'), ('jd', 'jadi'), ('jdikan', 'jadikan'), ('jg', 'juga'), ('jgn', 'jangan'), ('jijay', 'jijik'), ('jkt', 'jakarta'), ('jnj', 'janji'), ('jth', 'jatuh'), ('jurdil', 'jujur adil'), ('jwb', 'jawab'), ('ka', 'kakak'), ('kabag', 'kepala bagian'), ('kacian', 'kasihan'), ('kadit', 'kepala direktorat'), ('kaga', 'tidak'), ('kaka', 'kakak'), ('kamtib', 'keamanan dan ketertiban'), ('kamuh', 'kamu'), ('kamyu', 'kamu'), ('kapt', 'kapten'), ('kasat', 'kepala satuan'), ('kasubbid', 'kepala subbidang'), ('kau', 'kamu'), ('kbar', 'kabar'), ('kcian', 'kasihan'), ('keburu', 'terlanjur'), ('kedubes', 'kedutaan besar'), ('kek', 'seperti'), ('keknya', 'kayaknya'), ('keliatan', 'kelihatan'), ('keneh', 'masih'), ('kepikiran', 'terpikirkan'), ('kepo', 'mau tahu urusan orang'), ('kere', 'tidak punya uang'), ('kesian', 'kasihan'), ('ketauan', 'ketahuan'), ('keukeuh', 'keras kepala'), ('khan', 'kan'), ('kibus', 'kaki busuk'), ('kk', 'kakak'), ('klian', 'kalian'), ('klo', 'kalau'), ('kluarga', 'keluarga'), ('klwrga', 'keluarga'), ('kmari', 'kemari'), ('kmpus', 'kampus'), ('kn', 'kan'), ('knl', 'kenal'), ('knpa', 'kenapa'), ('kog', 'kok'), ('kompi', 'komputer'), ('komtiong', 'komunis Tiongkok'), ('konjen', 'konsulat jenderal'), ('koq', 'kok'), ('kpd', 'kepada'), ('kptsan', 'keputusan'), ('krik', 'garing'), ('krn', 'karena'), ('ktauan', 'ketahuan'), ('ktny', 'katanya'), ('kudu', 'harus'), ('kuq', 'kok'), ('ky', 'seperti'), ('kykny', 'kayanya'), ('laka', 'kecelakaan'), ('lambreta', 'lambat'), ('lansia', 'lanjut usia'), ('lapas', 'lembaga pemasyarakatan'), ('lbur', 'libur'), ('lekong', 'laki-laki'), ('lg', 'lagi'), ('lgkp', 'lengkap'), ('lht', 'lihat'), ('linmas', 'perlindungan masyarakat'), ('lmyan', 'lumayan'), ('lngkp', 'lengkap'), ('loch', 'loh'), ('lol', 'tertawa'), ('lom', 'belum'), ('loupz', 'cinta'), ('lowh', 'kamu'), ('lu', 'kamu'), ('luchu', 'lucu'), ('luff', 'cinta'), ('luph', 'cinta'), ('lw', 'kamu'), ('lwt', 'lewat'), ('maaciw', 'terima kasih'), ('mabes', 'markas besar'), ('macem-macem', 'macam-macam'), ('madesu', 'masa depan suram'), ('maen', 'main'), ('mahatma', 'maju sehat bersama'), ('mak', 'ibu'), ('makasih', 'terima kasih'), ('malah', 'bahkan'), ('malu2in', 'memalukan'), ('mamz', 'makan'), ('manies', 'manis'), ('mantep', 'mantap'), ('markus', 'makelar kasus'), ('mba', 'mbak'), ('mending', 'lebih baik'), ('mgkn', 'mungkin'), ('mhn', 'mohon'), ('miker', 'minuman keras'), ('milis', 'mailing list'), ('mksd', 'maksud'), ('mls', 'malas'), ('mnt', 'minta'), ('moge', 'motor gede'), ('mokat', 'mati'), ('mosok', 'masa'), ('msh', 'masih'), ('mskpn', 'meskipun'), ('msng2', 'masing-masing'), ('muahal', 'mahal'), ('muker', 'musyawarah kerja'), ('mumet', 'pusing'), ('muna', 'munafik'), ('munaslub', 'musyawarah nasional luar biasa'), ('musda', 'musyawarah daerah'), ('muup', 'maaf'), ('muuv', 'maaf'), ('nal', 'kenal'), ('nangis', 'menangis'), ('naon', 'apa'), ('napol', 'narapidana politik'), ('naq', 'anak'), ('narsis', 'bangga pada diri sendiri'), ('nax', 'anak'), ('ndak', 'tidak'), ('ndut', 'gendut'), ('nekolim', 'neokolonialisme'), ('nelfon', 'menelepon'), ('ngabis2in', 'menghabiskan'), ('ngakak', 'tertawa'), ('ngambek', 'marah'), ('ngampus', 'pergi ke kampus'), ('ngantri', 'mengantri'), ('ngapain', 'sedang apa'), ('ngaruh', 'berpengaruh'), ('ngawur', 'berbicara sembarangan'), ('ngeceng', 'kumpul bareng-bareng'), ('ngeh', 'sadar'), ('ngekos', 'tinggal di kos'), ('ngelamar', 'melamar'), ('ngeliat', 'melihat'), ('ngemeng', 'bicara terus-terusan'), ('ngerti', 'mengerti'), ('nggak', 'tidak'), ('ngikut', 'ikut'), ('nginep', 'menginap'), ('ngisi', 'mengisi'), ('ngmg', 'bicara'), ('ngocol', 'lucu'), ('ngomongin', 'membicarakan'), ('ngumpul', 'berkumpul'), ('ni', 'ini'), ('nyasar', 'tersesat'), ('nyariin', 'mencari'), ('nyiapin', 'mempersiapkan'), ('nyiram', 'menyiram'), ('nyok', 'ayo'), ('o/', 'oleh'), ('ok', 'ok'), ('priksa', 'periksa'), ('pro', 'profesional'), ('psn', 'pesan'), ('psti', 'pasti'), ('puanas', 'panas'), ('qmo', 'kamu'), ('qt', 'kita'), ('rame', 'ramai'), ('raskin', 'rakyat miskin'), ('red', 'redaksi'), ('reg', 'register'), ('rejeki', 'rezeki'), ('renstra', 'rencana strategis'), ('reskrim', 'reserse kriminal'), ('sni', 'sini'), ('somse', 'sombong sekali'), ('sorry', 'maaf'), ('sosbud', 'sosial-budaya'), ('sospol', 'sosial-politik'), ('sowry', 'maaf'), ('spd', 'sepeda'), ('sprti', 'seperti'), ('spy', 'supaya'), ('stelah', 'setelah'), ('subbag', 'subbagian'), ('sumbangin', 'sumbangkan'), ('sy', 'saya'), ('syp', 'siapa'), ('tabanas', 'tabungan pembangunan nasional'), ('tar', 'nanti'), ('taun', 'tahun'), ('tawh', 'tahu'), ('tdi', 'tadi'), ('te2p', 'tetap'), ('tekor', 'rugi'), ('telkom', 'telekomunikasi'), ('telp', 'telepon'), ('temen2', 'teman-teman'), ('tengok', 'menjenguk'), ('terbitin', 'terbitkan'), ('tgl', 'tanggal'), ('thanks', 'terima kasih'), ('thd', 'terhadap'), ('thx', 'terima kasih'), ('tipi', 'TV'), ('tkg', 'tukang'), ('tll', 'terlalu'), ('tlpn', 'telepon'), ('tman', 'teman'), ('tmbh', 'tambah'), ('tmn2', 'teman-teman'), ('tmph', 'tumpah'), ('tnda', 'tanda'), ('tnh', 'tanah'), ('togel', 'toto gelap'), ('tp', 'tapi'), ('tq', 'terima kasih'), ('trgntg', 'tergantung'), ('trims', 'terima kasih'), ('cb', 'coba'), ('y', 'ya'), ('munfik', 'munafik'), ('reklamuk', 'reklamasi'), ('sma', 'sama'), ('tren', 'trend'), ('ngehe', 'kesal'), ('mz', 'mas'), ('analisise', 'analisis'), ('sadaar', 'sadar'), ('sept', 'september'), ('nmenarik', 'menarik'), ('zonk', 'bodoh'), ('rights', 'benar'), ('simiskin', 'miskin'), ('ngumpet', 'sembunyi'), ('hardcore', 'keras'), ('akhirx', 'akhirnya'), ('solve', 'solusi'), ('watuk', 'batuk'), ('ngebully', 'intimidasi'), ('masy', 'masyarakat'), ('still', 'masih'), ('tauk', 'tahu'), ('mbual', 'bual'), ('tioghoa', 'tionghoa'), ('ngentotin', 'senggama'), ('kentot', 'senggama'), ('faktakta', 'fakta'), ('sohib', 'teman'), ('rubahnn', 'rubah'), ('trlalu', 'terlalu'), ('nyela', 'cela'), ('heters', 'pembenci'), ('nyembah', 'sembah'), ('most', 'paling'), ('ikon', 'lambang'), ('light', 'terang'), ('pndukung', 'pendukung'), ('setting', 'atur'), ('seting', 'akting'), ('next', 'lanjut'), ('waspadalah', 'waspada'), ('gantengsaya', 'ganteng'), ('parte', 'partai'), ('nyerang', 'serang'), ('nipu', 'tipu'), ('ktipu', 'tipu'), ('jentelmen', 'berani'), ('buangbuang', 'buang'), ('tsangka', 'tersangka'), ('kurng', 'kurang'), ('ista', 'nista'), ('less', 'kurang'), ('koar', 'teriak'), ('paranoid', 'takut'), ('problem', 'masalah'), ('tahi', 'kotoran'), ('tirani', 'tiran'), ('tilep', 'tilap'), ('happy', 'bahagia'), ('tak', 'tidak'), ('penertiban', 'tertib'), ('uasai', 'kuasa'), ('mnolak', 'tolak'), ('trending', 'trend'), ('taik', 'tahi'), ('wkwkkw', 'tertawa'), ('ahokncc', 'ahok'), ('istaa', 'nista'), ('benarjujur', 'jujur'), ('mgkin', 'mungkin')])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "id": "Ip6D1bUeceQ5",
        "outputId": "5c915ec2-4772-43b7-952b-32ecde6b9e36"
      },
      "source": [
        "slang_df = pd.DataFrame(dict_slang.items(), columns=['Old', 'New'])\r\n",
        "slang_df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Old</th>\n",
              "      <th>New</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>@</td>\n",
              "      <td>di</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>abis</td>\n",
              "      <td>habis</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ad</td>\n",
              "      <td>ada</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>adlh</td>\n",
              "      <td>adalah</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>afaik</td>\n",
              "      <td>as far as i know</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "     Old               New\n",
              "0      @                di\n",
              "1   abis             habis\n",
              "2     ad               ada\n",
              "3   adlh            adalah\n",
              "4  afaik  as far as i know"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QdNOUY8Ndu49"
      },
      "source": [
        "# remove trailing white space\r\n",
        "slang_df['Old'] = slang_df['Old'].apply(lambda x: x.strip())\r\n",
        "slang_df['New'] = slang_df['New'].apply(lambda x: x.strip())"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dszrPTGXeQ9B"
      },
      "source": [
        "# transform into key value in a dict\r\n",
        "slang_dict = {}\r\n",
        "for i, row in slang_df.iterrows():\r\n",
        "  slang_dict.update({row['Old']: row['New']})"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2ZLbuif8ewq4"
      },
      "source": [
        "def removeSlang(data):\r\n",
        "  # iterate through data\r\n",
        "  for i, word in enumerate(data):\r\n",
        "    # check if data in slang dictionary or not\r\n",
        "    try:\r\n",
        "      data[i] = slang_dict[word]\r\n",
        "    # if data is not slang then pass\r\n",
        "    except KeyError:\r\n",
        "      pass\r\n",
        "  return data"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        },
        "id": "CcVZneDZfKQo",
        "outputId": "2a8ff036-4f57-43fe-b51b-09fa99cabaed"
      },
      "source": [
        "df['No_Slang'] = df['Stemmed'].apply(removeSlang)\r\n",
        "df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Label</th>\n",
              "      <th>Tweet</th>\n",
              "      <th>length</th>\n",
              "      <th>Case_folded</th>\n",
              "      <th>Tokenized</th>\n",
              "      <th>Stemmed</th>\n",
              "      <th>No_Slang</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>RT @spardaxyz: Fadli Zon Minta Mendagri Segera...</td>\n",
              "      <td>110</td>\n",
              "      <td>fadli zon minta mendagri segera menonaktifkan ...</td>\n",
              "      <td>[fadli, zon, minta, mendagri, segera, menonakt...</td>\n",
              "      <td>[fadli, zon, minta, mendagri, segera, nonaktif...</td>\n",
              "      <td>[fadli, zon, minta, mendagri, segera, nonaktif...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>RT @baguscondromowo: Mereka terus melukai aksi...</td>\n",
              "      <td>108</td>\n",
              "      <td>mereka terus melukai aksi dalam rangka memenja...</td>\n",
              "      <td>[mereka, terus, melukai, aksi, dalam, rangka, ...</td>\n",
              "      <td>[mereka, terus, luka, aksi, dalam, rangka, pen...</td>\n",
              "      <td>[mereka, terus, luka, aksi, dalam, rangka, pen...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>Sylvi: bagaimana gurbernur melakukan kekerasan...</td>\n",
              "      <td>116</td>\n",
              "      <td>sylvi bagaimana gurbernur melakukan kekerasan ...</td>\n",
              "      <td>[sylvi, bagaimana, gurbernur, melakukan, keker...</td>\n",
              "      <td>[sylvi, bagaimana, gurbernur, laku, keras, per...</td>\n",
              "      <td>[sylvi, bagaimana, gurbernur, laku, keras, per...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>Ahmad Dhani Tak Puas Debat Pilkada, Masalah Ja...</td>\n",
              "      <td>115</td>\n",
              "      <td>ahmad dhani tak puas debat pilkada masalah jal...</td>\n",
              "      <td>[ahmad, dhani, tak, puas, debat, pilkada, masa...</td>\n",
              "      <td>[ahmad, dhani, tidak, puas, debat, pemilihan k...</td>\n",
              "      <td>[ahmad, dhani, tidak, puas, debat, pemilihan k...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>RT @lisdaulay28: Waspada KTP palsu.....kawal P...</td>\n",
              "      <td>79</td>\n",
              "      <td>waspada ktp palsu kawal pilkada</td>\n",
              "      <td>[waspada, ktp, palsu, kawal, pilkada]</td>\n",
              "      <td>[waspada, ktp, palsu, kawal, pemilihan kepala ...</td>\n",
              "      <td>[waspada, ktp, palsu, kawal, pemilihan kepala ...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    Label  ...                                           No_Slang\n",
              "0  Non_HS  ...  [fadli, zon, minta, mendagri, segera, nonaktif...\n",
              "1  Non_HS  ...  [mereka, terus, luka, aksi, dalam, rangka, pen...\n",
              "2  Non_HS  ...  [sylvi, bagaimana, gurbernur, laku, keras, per...\n",
              "3  Non_HS  ...  [ahmad, dhani, tidak, puas, debat, pemilihan k...\n",
              "4  Non_HS  ...  [waspada, ktp, palsu, kawal, pemilihan kepala ...\n",
              "\n",
              "[5 rows x 7 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vJL4Dp7BkLGs"
      },
      "source": [
        "### Stop Words Removal"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-fv2oYeTlizm",
        "outputId": "c396c319-73df-4eb3-99c4-c18357abbf16"
      },
      "source": [
        "nltk.download('stopwords')\r\n",
        "from nltk.corpus import stopwords"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
            "[nltk_data]   Package stopwords is already up-to-date!\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qRSViKLffWlQ"
      },
      "source": [
        "def removeStopWords(data):\r\n",
        "  stop_words = set(stopwords.words('indonesian'))\r\n",
        "  return data.apply(lambda x: [item for item in x if item not in stop_words])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        },
        "id": "da7qeGACl8C0",
        "outputId": "a044ca19-cf43-493c-95ca-d5d8faef11ae"
      },
      "source": [
        "df['No_Stop']=removeStopWords(df['No_Slang'])\r\n",
        "df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Label</th>\n",
              "      <th>Tweet</th>\n",
              "      <th>length</th>\n",
              "      <th>Case_folded</th>\n",
              "      <th>Tokenized</th>\n",
              "      <th>Stemmed</th>\n",
              "      <th>No_Slang</th>\n",
              "      <th>No_Stop</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>RT @spardaxyz: Fadli Zon Minta Mendagri Segera...</td>\n",
              "      <td>110</td>\n",
              "      <td>fadli zon minta mendagri segera menonaktifkan ...</td>\n",
              "      <td>[fadli, zon, minta, mendagri, segera, menonakt...</td>\n",
              "      <td>[fadli, zon, minta, mendagri, segera, nonaktif...</td>\n",
              "      <td>[fadli, zon, minta, mendagri, segera, nonaktif...</td>\n",
              "      <td>[fadli, zon, mendagri, nonaktif, ahok, gubernu...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>RT @baguscondromowo: Mereka terus melukai aksi...</td>\n",
              "      <td>108</td>\n",
              "      <td>mereka terus melukai aksi dalam rangka memenja...</td>\n",
              "      <td>[mereka, terus, melukai, aksi, dalam, rangka, ...</td>\n",
              "      <td>[mereka, terus, luka, aksi, dalam, rangka, pen...</td>\n",
              "      <td>[mereka, terus, luka, aksi, dalam, rangka, pen...</td>\n",
              "      <td>[luka, aksi, rangka, penjara, ahok, ahok, gaga...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>Sylvi: bagaimana gurbernur melakukan kekerasan...</td>\n",
              "      <td>116</td>\n",
              "      <td>sylvi bagaimana gurbernur melakukan kekerasan ...</td>\n",
              "      <td>[sylvi, bagaimana, gurbernur, melakukan, keker...</td>\n",
              "      <td>[sylvi, bagaimana, gurbernur, laku, keras, per...</td>\n",
              "      <td>[sylvi, bagaimana, gurbernur, laku, keras, per...</td>\n",
              "      <td>[sylvi, gurbernur, laku, keras, perempuan, buk...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>Ahmad Dhani Tak Puas Debat Pilkada, Masalah Ja...</td>\n",
              "      <td>115</td>\n",
              "      <td>ahmad dhani tak puas debat pilkada masalah jal...</td>\n",
              "      <td>[ahmad, dhani, tak, puas, debat, pilkada, masa...</td>\n",
              "      <td>[ahmad, dhani, tidak, puas, debat, pemilihan k...</td>\n",
              "      <td>[ahmad, dhani, tidak, puas, debat, pemilihan k...</td>\n",
              "      <td>[ahmad, dhani, puas, debat, pemilihan kepala d...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Non_HS</td>\n",
              "      <td>RT @lisdaulay28: Waspada KTP palsu.....kawal P...</td>\n",
              "      <td>79</td>\n",
              "      <td>waspada ktp palsu kawal pilkada</td>\n",
              "      <td>[waspada, ktp, palsu, kawal, pilkada]</td>\n",
              "      <td>[waspada, ktp, palsu, kawal, pemilihan kepala ...</td>\n",
              "      <td>[waspada, ktp, palsu, kawal, pemilihan kepala ...</td>\n",
              "      <td>[waspada, ktp, palsu, kawal, pemilihan kepala ...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    Label  ...                                            No_Stop\n",
              "0  Non_HS  ...  [fadli, zon, mendagri, nonaktif, ahok, gubernu...\n",
              "1  Non_HS  ...  [luka, aksi, rangka, penjara, ahok, ahok, gaga...\n",
              "2  Non_HS  ...  [sylvi, gurbernur, laku, keras, perempuan, buk...\n",
              "3  Non_HS  ...  [ahmad, dhani, puas, debat, pemilihan kepala d...\n",
              "4  Non_HS  ...  [waspada, ktp, palsu, kawal, pemilihan kepala ...\n",
              "\n",
              "[5 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1yGuUZyFqlO4"
      },
      "source": [
        "## Encoding Target Value"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        },
        "id": "qG2oHCBzmIZO",
        "outputId": "c96908ef-b714-4bad-e73c-0f4ac85b4305"
      },
      "source": [
        "df['Label'] = df['Label'].apply(lambda x: 1 if x == 'HS' else 0)\r\n",
        "df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Label</th>\n",
              "      <th>Tweet</th>\n",
              "      <th>length</th>\n",
              "      <th>Case_folded</th>\n",
              "      <th>Tokenized</th>\n",
              "      <th>Stemmed</th>\n",
              "      <th>No_Slang</th>\n",
              "      <th>No_Stop</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>RT @spardaxyz: Fadli Zon Minta Mendagri Segera...</td>\n",
              "      <td>110</td>\n",
              "      <td>fadli zon minta mendagri segera menonaktifkan ...</td>\n",
              "      <td>[fadli, zon, minta, mendagri, segera, menonakt...</td>\n",
              "      <td>[fadli, zon, minta, mendagri, segera, nonaktif...</td>\n",
              "      <td>[fadli, zon, minta, mendagri, segera, nonaktif...</td>\n",
              "      <td>[fadli, zon, mendagri, nonaktif, ahok, gubernu...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0</td>\n",
              "      <td>RT @baguscondromowo: Mereka terus melukai aksi...</td>\n",
              "      <td>108</td>\n",
              "      <td>mereka terus melukai aksi dalam rangka memenja...</td>\n",
              "      <td>[mereka, terus, melukai, aksi, dalam, rangka, ...</td>\n",
              "      <td>[mereka, terus, luka, aksi, dalam, rangka, pen...</td>\n",
              "      <td>[mereka, terus, luka, aksi, dalam, rangka, pen...</td>\n",
              "      <td>[luka, aksi, rangka, penjara, ahok, ahok, gaga...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0</td>\n",
              "      <td>Sylvi: bagaimana gurbernur melakukan kekerasan...</td>\n",
              "      <td>116</td>\n",
              "      <td>sylvi bagaimana gurbernur melakukan kekerasan ...</td>\n",
              "      <td>[sylvi, bagaimana, gurbernur, melakukan, keker...</td>\n",
              "      <td>[sylvi, bagaimana, gurbernur, laku, keras, per...</td>\n",
              "      <td>[sylvi, bagaimana, gurbernur, laku, keras, per...</td>\n",
              "      <td>[sylvi, gurbernur, laku, keras, perempuan, buk...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0</td>\n",
              "      <td>Ahmad Dhani Tak Puas Debat Pilkada, Masalah Ja...</td>\n",
              "      <td>115</td>\n",
              "      <td>ahmad dhani tak puas debat pilkada masalah jal...</td>\n",
              "      <td>[ahmad, dhani, tak, puas, debat, pilkada, masa...</td>\n",
              "      <td>[ahmad, dhani, tidak, puas, debat, pemilihan k...</td>\n",
              "      <td>[ahmad, dhani, tidak, puas, debat, pemilihan k...</td>\n",
              "      <td>[ahmad, dhani, puas, debat, pemilihan kepala d...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0</td>\n",
              "      <td>RT @lisdaulay28: Waspada KTP palsu.....kawal P...</td>\n",
              "      <td>79</td>\n",
              "      <td>waspada ktp palsu kawal pilkada</td>\n",
              "      <td>[waspada, ktp, palsu, kawal, pilkada]</td>\n",
              "      <td>[waspada, ktp, palsu, kawal, pemilihan kepala ...</td>\n",
              "      <td>[waspada, ktp, palsu, kawal, pemilihan kepala ...</td>\n",
              "      <td>[waspada, ktp, palsu, kawal, pemilihan kepala ...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Label  ...                                            No_Stop\n",
              "0      0  ...  [fadli, zon, mendagri, nonaktif, ahok, gubernu...\n",
              "1      0  ...  [luka, aksi, rangka, penjara, ahok, ahok, gaga...\n",
              "2      0  ...  [sylvi, gurbernur, laku, keras, perempuan, buk...\n",
              "3      0  ...  [ahmad, dhani, puas, debat, pemilihan kepala d...\n",
              "4      0  ...  [waspada, ktp, palsu, kawal, pemilihan kepala ...\n",
              "\n",
              "[5 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        },
        "id": "vv0KZnb0q592",
        "outputId": "fe5bef88-690c-49dd-fa2a-6667766d5e26"
      },
      "source": [
        "# combine cleaned text after removing stop words into one string\r\n",
        "df['Ready'] = df['No_Stop'].apply(lambda x: ' '.join(x))\r\n",
        "df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Label</th>\n",
              "      <th>Tweet</th>\n",
              "      <th>length</th>\n",
              "      <th>Case_folded</th>\n",
              "      <th>Tokenized</th>\n",
              "      <th>Stemmed</th>\n",
              "      <th>No_Slang</th>\n",
              "      <th>No_Stop</th>\n",
              "      <th>Ready</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>RT @spardaxyz: Fadli Zon Minta Mendagri Segera...</td>\n",
              "      <td>110</td>\n",
              "      <td>fadli zon minta mendagri segera menonaktifkan ...</td>\n",
              "      <td>[fadli, zon, minta, mendagri, segera, menonakt...</td>\n",
              "      <td>[fadli, zon, minta, mendagri, segera, nonaktif...</td>\n",
              "      <td>[fadli, zon, minta, mendagri, segera, nonaktif...</td>\n",
              "      <td>[fadli, zon, mendagri, nonaktif, ahok, gubernu...</td>\n",
              "      <td>fadli zon mendagri nonaktif ahok gubernur dki</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0</td>\n",
              "      <td>RT @baguscondromowo: Mereka terus melukai aksi...</td>\n",
              "      <td>108</td>\n",
              "      <td>mereka terus melukai aksi dalam rangka memenja...</td>\n",
              "      <td>[mereka, terus, melukai, aksi, dalam, rangka, ...</td>\n",
              "      <td>[mereka, terus, luka, aksi, dalam, rangka, pen...</td>\n",
              "      <td>[mereka, terus, luka, aksi, dalam, rangka, pen...</td>\n",
              "      <td>[luka, aksi, rangka, penjara, ahok, ahok, gaga...</td>\n",
              "      <td>luka aksi rangka penjara ahok ahok gagal pemil...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0</td>\n",
              "      <td>Sylvi: bagaimana gurbernur melakukan kekerasan...</td>\n",
              "      <td>116</td>\n",
              "      <td>sylvi bagaimana gurbernur melakukan kekerasan ...</td>\n",
              "      <td>[sylvi, bagaimana, gurbernur, melakukan, keker...</td>\n",
              "      <td>[sylvi, bagaimana, gurbernur, laku, keras, per...</td>\n",
              "      <td>[sylvi, bagaimana, gurbernur, laku, keras, per...</td>\n",
              "      <td>[sylvi, gurbernur, laku, keras, perempuan, buk...</td>\n",
              "      <td>sylvi gurbernur laku keras perempuan bukti fot...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0</td>\n",
              "      <td>Ahmad Dhani Tak Puas Debat Pilkada, Masalah Ja...</td>\n",
              "      <td>115</td>\n",
              "      <td>ahmad dhani tak puas debat pilkada masalah jal...</td>\n",
              "      <td>[ahmad, dhani, tak, puas, debat, pilkada, masa...</td>\n",
              "      <td>[ahmad, dhani, tidak, puas, debat, pemilihan k...</td>\n",
              "      <td>[ahmad, dhani, tidak, puas, debat, pemilihan k...</td>\n",
              "      <td>[ahmad, dhani, puas, debat, pemilihan kepala d...</td>\n",
              "      <td>ahmad dhani puas debat pemilihan kepala daerah...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0</td>\n",
              "      <td>RT @lisdaulay28: Waspada KTP palsu.....kawal P...</td>\n",
              "      <td>79</td>\n",
              "      <td>waspada ktp palsu kawal pilkada</td>\n",
              "      <td>[waspada, ktp, palsu, kawal, pilkada]</td>\n",
              "      <td>[waspada, ktp, palsu, kawal, pemilihan kepala ...</td>\n",
              "      <td>[waspada, ktp, palsu, kawal, pemilihan kepala ...</td>\n",
              "      <td>[waspada, ktp, palsu, kawal, pemilihan kepala ...</td>\n",
              "      <td>waspada ktp palsu kawal pemilihan kepala daerah</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Label  ...                                              Ready\n",
              "0      0  ...      fadli zon mendagri nonaktif ahok gubernur dki\n",
              "1      0  ...  luka aksi rangka penjara ahok ahok gagal pemil...\n",
              "2      0  ...  sylvi gurbernur laku keras perempuan bukti fot...\n",
              "3      0  ...  ahmad dhani puas debat pemilihan kepala daerah...\n",
              "4      0  ...    waspada ktp palsu kawal pemilihan kepala daerah\n",
              "\n",
              "[5 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gCZgmg17rcOB"
      },
      "source": [
        "## Combine Cleaned Tweet and Label"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "id": "KYZ64SWaraS8",
        "outputId": "348d3634-ecc2-45c8-ccdc-ff9128c5ac5f"
      },
      "source": [
        "data1 = df[['Ready']]\r\n",
        "data2 = df[['Label']]\r\n",
        "dataset = pd.concat([data1, data2], axis=1)\r\n",
        "dataset.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Ready</th>\n",
              "      <th>Label</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>fadli zon mendagri nonaktif ahok gubernur dki</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>luka aksi rangka penjara ahok ahok gagal pemil...</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>sylvi gurbernur laku keras perempuan bukti fot...</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ahmad dhani puas debat pemilihan kepala daerah...</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>waspada ktp palsu kawal pemilihan kepala daerah</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                               Ready  Label\n",
              "0      fadli zon mendagri nonaktif ahok gubernur dki      0\n",
              "1  luka aksi rangka penjara ahok ahok gagal pemil...      0\n",
              "2  sylvi gurbernur laku keras perempuan bukti fot...      0\n",
              "3  ahmad dhani puas debat pemilihan kepala daerah...      0\n",
              "4    waspada ktp palsu kawal pemilihan kepala daerah      0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "y-BDNTsIrw-y"
      },
      "source": [
        "## Text Vectorization (TF-IDF)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ln1KkqxwrqwU"
      },
      "source": [
        "from sklearn.feature_extraction.text import TfidfVectorizer"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "arKBLywCr40p"
      },
      "source": [
        "X = dataset['Ready']\r\n",
        "label = dataset['Label']"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pggtJNCSr8ET",
        "outputId": "ed3a731d-f5c0-42aa-e98a-0a862594450f"
      },
      "source": [
        "tfidf_vectorizer = TfidfVectorizer()\r\n",
        "tfidf_vector = tfidf_vectorizer.fit_transform(X)\r\n",
        "tfidf_vector.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(713, 1951)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4icvFmCssPBV"
      },
      "source": [
        "## Dealing With Imbalance Class"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2BarGTnxsI_z"
      },
      "source": [
        "# from imblearn.over_sampling import SMOTE"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JF-EOqf3sYyb"
      },
      "source": [
        "# sampler = SMOTE()\r\n",
        "# tfidf_vector, label = sampler.fit_resample(tfidf_vector, label)\r\n",
        "# print(tfidf_vector.shape)\r\n",
        "# print(label.shape)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "87MdB-6ks0AA"
      },
      "source": [
        "## Split Data (Training and Testing Data)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "T1PrsPE7srYk"
      },
      "source": [
        "from sklearn.model_selection import train_test_split"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RFyJxrgxs8NL",
        "outputId": "a021f4c9-e2c2-42ae-980a-1a92ffcfa407"
      },
      "source": [
        "X_train, X_test, y_train, y_test = train_test_split(tfidf_vector, label, test_size=0.2, shuffle=True, random_state=42)\r\n",
        "print(X_train.shape)\r\n",
        "print(X_test.shape)\r\n",
        "print(y_train.shape)\r\n",
        "print(y_test.shape)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(570, 1951)\n",
            "(143, 1951)\n",
            "(570,)\n",
            "(143,)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "t2-XH82EuMTG"
      },
      "source": [
        "## Most Common Words VS Importants Words"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "V_atYTertNJT"
      },
      "source": [
        "feature_names = np.array(tfidf_vectorizer.get_feature_names())\r\n",
        "\r\n",
        "# Sort TFIDF by value\r\n",
        "max_tf_idfs = X_train.max(0).toarray()[0] # Get largest tfidf values across all documents.\r\n",
        "sorted_tf_idxs = max_tf_idfs.argsort() # Sorted indices\r\n",
        "sorted_tf_idfs = max_tf_idfs[sorted_tf_idxs] # Sorted TFIDF values\r\n",
        "\r\n",
        "# feature_names doesn't need to be sorted! You just access it with a list of sorted indices!\r\n",
        "smallest_tf_idfs = pd.Series(sorted_tf_idfs[:10], index=feature_names[sorted_tf_idxs[:10]])                    \r\n",
        "largest_tf_idfs = pd.Series(sorted_tf_idfs[-10:][::-1], index=feature_names[sorted_tf_idxs[-10:][::-1]])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sPYG0sqwuRec",
        "outputId": "5ad40cd3-5ceb-4653-997e-a130edfee32c"
      },
      "source": [
        "print('Most common words:\\n', smallest_tf_idfs)\r\n",
        "print('\\n')\r\n",
        "print('Most important words:\\n', largest_tf_idfs)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Most common words:\n",
            " baiat     0.0\n",
            "wahabi    0.0\n",
            "kader     0.0\n",
            "bangke    0.0\n",
            "long      0.0\n",
            "norak     0.0\n",
            "denger    0.0\n",
            "kah       0.0\n",
            "vs        0.0\n",
            "nomer     0.0\n",
            "dtype: float64\n",
            "\n",
            "\n",
            "Most important words:\n",
            " perempuan    0.969216\n",
            "tangguh      0.960130\n",
            "karya        0.955319\n",
            "keren        0.947947\n",
            "seru         0.910673\n",
            "dukung       0.888721\n",
            "nang         0.878559\n",
            "kesi         0.868267\n",
            "mantap       0.867034\n",
            "paslon       0.844473\n",
            "dtype: float64\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eM1DVjNjuc2y"
      },
      "source": [
        "##WordCloud"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kbwWyq0MuUvy"
      },
      "source": [
        "from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator\r\n",
        "from PIL import Image"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HNG39PJzvNc6"
      },
      "source": [
        "### Hate Speech Wordcloud"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 533
        },
        "id": "eYy_ppwHuoLa",
        "outputId": "66371406-e7b0-4b08-d739-8cf35ca5b549"
      },
      "source": [
        "hs_words = ' '.join([word for word in dataset['Ready'][dataset['Label']==1]])\r\n",
        "wordcloud = WordCloud(width=400, height=300, max_font_size=100).generate(hs_words)\r\n",
        "plt.figure(figsize=(12,10))\r\n",
        "plt.imshow(wordcloud, interpolation='bilinear')\r\n",
        "plt.axis('off')\r\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zWwx60rGvQ3R"
      },
      "source": [
        "### Non Hate Speech Wordcloud"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 533
        },
        "id": "fwrZbgNJvJXy",
        "outputId": "c118ffd8-e4d0-4e0b-c144-75e3435a918b"
      },
      "source": [
        "nonhs_words = ' '.join([word for word in dataset['Ready'][dataset['Label']==0]])\r\n",
        "wordcloud = WordCloud(width=400, height=300, max_font_size=100).generate(nonhs_words)\r\n",
        "plt.figure(figsize=(12,10))\r\n",
        "plt.imshow(wordcloud, interpolation='bilinear')\r\n",
        "plt.axis('off')\r\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "e1quk1RIYaXI"
      },
      "source": [
        "## Modelling"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qSQmca7_cMFk"
      },
      "source": [
        "from mlxtend.plotting import plot_confusion_matrix\r\n",
        "from sklearn import metrics"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CIfOHgt7b5mg"
      },
      "source": [
        "def print_conf(y_test, result, classes, title='Confusion matrix'):\r\n",
        "  conf_matrix = metrics.confusion_matrix(y_test, result)\r\n",
        "  plt.figure(figsize=(6,6))\r\n",
        "  sns.heatmap(conf_matrix, \r\n",
        "              annot=True,\r\n",
        "              xticklabels=classes, \r\n",
        "              yticklabels=classes,\r\n",
        "              cmap=\"Blues\",\r\n",
        "              fmt='d')\r\n",
        "  plt.ylabel('Actual')\r\n",
        "  plt.xlabel('Predicted')\r\n",
        "  plt.title(title)\r\n",
        "  plt.show()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rCsLLgKpYe6J"
      },
      "source": [
        "### SVM"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pRyZReLzvXKd"
      },
      "source": [
        "from sklearn.svm import SVC"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "szMhPSFoYp1T"
      },
      "source": [
        "svc = SVC(kernel='linear')\r\n",
        "svc.fit(X_train, y_train) #training svc model\r\n",
        "y_pred_svc = svc.predict(X_test) # predicting test data"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "G3FRcYcDamTB",
        "outputId": "f8b234ca-c9e8-4c40-bfa1-8b1c49ea12bc"
      },
      "source": [
        "print(svc.score(X_train, y_train))\r\n",
        "print(svc.score(X_test, y_test))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "0.9842105263157894\n",
            "0.8601398601398601\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 410
        },
        "id": "VptQgfwjb4gj",
        "outputId": "466cf36a-e3f9-4651-d9fb-7bc7134f2600"
      },
      "source": [
        "print_conf(y_test, y_pred_svc, [0, 1], title=\"Confusion matrix SVC\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x432 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "c8mKXEzIcHph",
        "outputId": "e5f7e85a-6252-47dc-a04e-495492b98d82"
      },
      "source": [
        "print(metrics.classification_report(y_test, y_pred_svc))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.89      0.91      0.90        98\n",
            "           1       0.79      0.76      0.77        45\n",
            "\n",
            "    accuracy                           0.86       143\n",
            "   macro avg       0.84      0.83      0.84       143\n",
            "weighted avg       0.86      0.86      0.86       143\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "58FJUM1UejzG"
      },
      "source": [
        "### XGBOOST"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "A04hdlV-cvMN"
      },
      "source": [
        "from xgboost import XGBClassifier"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "g6yAOr1re-4y"
      },
      "source": [
        "xgb = XGBClassifier()\r\n",
        "xgb.fit(X_train, y_train) #training svc model\r\n",
        "y_pred_xgb = xgb.predict(X_test) # predicting test data"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-QrZ2RAefKz-",
        "outputId": "8d3142ff-60a1-4292-b37d-c7b06e464e57"
      },
      "source": [
        "print(xgb.score(X_train, y_train))\r\n",
        "print(xgb.score(X_test, y_test))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "0.8947368421052632\n",
            "0.8811188811188811\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 410
        },
        "id": "Jvre103bfQyU",
        "outputId": "13ce98ba-1103-4736-95e4-0386a652f37c"
      },
      "source": [
        "print_conf(y_test, y_pred_xgb, [0, 1], title=\"Confusion matrix XGBOOST Classifier\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x432 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2CKlGpdYgIxb",
        "outputId": "fb02f02b-159c-4ace-a754-6249bdba3775"
      },
      "source": [
        "print(metrics.classification_report(y_test, y_pred_xgb))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.89      0.94      0.92        98\n",
            "           1       0.85      0.76      0.80        45\n",
            "\n",
            "    accuracy                           0.88       143\n",
            "   macro avg       0.87      0.85      0.86       143\n",
            "weighted avg       0.88      0.88      0.88       143\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dFkKuF2HjRD8"
      },
      "source": [
        "#### XGBOOOST - RandomizedSearchCV"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CPV5YujXgPgs"
      },
      "source": [
        "from sklearn.model_selection import RandomizedSearchCV"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BkkCIBYQji0P"
      },
      "source": [
        "params = {'learning_rate': [0.025, 0.05, 0.075, 0.1], #so called `eta` value\r\n",
        "          'max_depth': [6, 7, 8],\r\n",
        "          'min_child_weight': [i for i in range(1, 11, 2)],\r\n",
        "          'n_estimators': [100, 250, 500] #number of trees, change it to 1000 for better results\r\n",
        "}\r\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7qKtMy2Tj97A"
      },
      "source": [
        "random_search = RandomizedSearchCV(xgb, param_distributions=params, n_iter=5, scoring='f1', n_jobs=-1, cv=5, verbose=3)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3x5OUT0_kNHi",
        "outputId": "6c22f702-dcd5-4098-b872-e79a061130c5"
      },
      "source": [
        "random_search.fit(tfidf_vector, label)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Fitting 5 folds for each of 5 candidates, totalling 25 fits\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "[Parallel(n_jobs=-1)]: Using backend LokyBackend with 2 concurrent workers.\n",
            "[Parallel(n_jobs=-1)]: Done  25 out of  25 | elapsed:   36.0s finished\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "RandomizedSearchCV(cv=5, error_score=nan,\n",
              "                   estimator=XGBClassifier(base_score=0.5, booster='gbtree',\n",
              "                                           colsample_bylevel=1,\n",
              "                                           colsample_bynode=1,\n",
              "                                           colsample_bytree=1, gamma=0,\n",
              "                                           learning_rate=0.1, max_delta_step=0,\n",
              "                                           max_depth=3, min_child_weight=1,\n",
              "                                           missing=None, n_estimators=100,\n",
              "                                           n_jobs=1, nthread=None,\n",
              "                                           objective='binary:logistic',\n",
              "                                           random_state=0, reg_alpha=0,\n",
              "                                           reg_lambda=1, scale_pos_weight=1,\n",
              "                                           seed=None, silent=None, subsample=1,\n",
              "                                           verbosity=1),\n",
              "                   iid='deprecated', n_iter=5, n_jobs=-1,\n",
              "                   param_distributions={'learning_rate': [0.025, 0.05, 0.075,\n",
              "                                                          0.1],\n",
              "                                        'max_depth': [6, 7, 8],\n",
              "                                        'min_child_weight': [1, 3, 5, 7, 9],\n",
              "                                        'n_estimators': [100, 250, 500]},\n",
              "                   pre_dispatch='2*n_jobs', random_state=None, refit=True,\n",
              "                   return_train_score=False, scoring='f1', verbose=3)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 66
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YHXhyUlPkgdh",
        "outputId": "443ceb2f-a6c6-494e-ca73-4acdd67e431d"
      },
      "source": [
        "random_search.best_estimator_"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n",
              "              colsample_bynode=1, colsample_bytree=1, gamma=0,\n",
              "              learning_rate=0.05, max_delta_step=0, max_depth=7,\n",
              "              min_child_weight=1, missing=None, n_estimators=250, n_jobs=1,\n",
              "              nthread=None, objective='binary:logistic', random_state=0,\n",
              "              reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=None,\n",
              "              silent=None, subsample=1, verbosity=1)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 67
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YZgdJX1AlhtD",
        "outputId": "fdada38a-634a-4ef0-cd49-dc06353f4685"
      },
      "source": [
        "random_search.best_params_"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'learning_rate': 0.05,\n",
              " 'max_depth': 7,\n",
              " 'min_child_weight': 1,\n",
              " 'n_estimators': 250}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 68
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GXt2rdglll8x"
      },
      "source": [
        "xgb_rscv = XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\r\n",
        "              colsample_bynode=1, colsample_bytree=1, gamma=0,\r\n",
        "              learning_rate=0.05, max_delta_step=0, max_depth=7,\r\n",
        "              min_child_weight=1, missing=None, n_estimators=250, n_jobs=1,\r\n",
        "              nthread=None, objective='binary:logistic', random_state=0,\r\n",
        "              reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=None,\r\n",
        "              silent=None, subsample=1, verbosity=1)\r\n",
        "xgb_rscv.fit(X_train, y_train) #training svc model\r\n",
        "y_pred_xgb_rscv = xgb_rscv.predict(X_test) # predicting test data"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Gz2EYhVTl7HZ",
        "outputId": "2f2dbd75-17f3-4b5c-e6fa-96a8458896b7"
      },
      "source": [
        "print(xgb_rscv.score(X_train, y_train))\r\n",
        "print(xgb_rscv.score(X_test, y_test))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "0.9473684210526315\n",
            "0.8671328671328671\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 410
        },
        "id": "YKljC8tKmgvk",
        "outputId": "c10a6676-7d55-444c-d2e6-ea498bdf9137"
      },
      "source": [
        "print_conf(y_test, y_pred_xgb_rscv, [0, 1], title=\"Confusion matrix XGBOOST Classifier With RandomizedSearchCV\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x432 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YjE9VQCCxEXH"
      },
      "source": [
        "## Model Comparison"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 142
        },
        "id": "o60XJjJbtYZ3",
        "outputId": "ded78664-e2ec-490f-b205-21406765a505"
      },
      "source": [
        "# Accuracy Comparison\r\n",
        "models = ['SVM', 'XGBOOST', 'RandomSearchCV','Neural Network']\r\n",
        "accSVMC = metrics.accuracy_score(y_test,y_pred_svc)\r\n",
        "accXGB = metrics.accuracy_score(y_test, y_pred_xgb)\r\n",
        "accXGB_RSCV = metrics.accuracy_score(y_test, y_pred_xgb_rscv)\r\n",
        "accuracies = [accSVMC, accXGB, accXGB_RSCV]\r\n",
        "comp = pd.DataFrame(list(zip(models, accuracies)), columns=['Model', 'Accuracy'])\r\n",
        "comp"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Model</th>\n",
              "      <th>Accuracy</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>SVM</td>\n",
              "      <td>0.860140</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>XGBOOST</td>\n",
              "      <td>0.881119</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>RandomSearchCV</td>\n",
              "      <td>0.867133</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            Model  Accuracy\n",
              "0             SVM  0.860140\n",
              "1         XGBOOST  0.881119\n",
              "2  RandomSearchCV  0.867133"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 72
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "G8QsaaTvu3me",
        "outputId": "96f0e4aa-a530-4bf6-900a-a4d93196021a"
      },
      "source": [
        "import joblib\r\n",
        "\r\n",
        "# Saving model\r\n",
        "joblib.dump(xgb, 'Hate Speech Classifier.joblib')\r\n",
        "joblib.dump(tfidf_vectorizer, 'Hate Speech TF-IDF Vectorizer.joblib')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Hate Speech TF-IDF Vectorizer.joblib']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 73
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 374
        },
        "id": "hrYsErhXu7d7",
        "outputId": "25e99b95-74c0-4cac-cceb-1bd801b7f266"
      },
      "source": [
        "df['prediction'] = xgb.predict(tfidf_vectorizer.transform(df['Tweet']))\r\n",
        "df['prediction'] = df['prediction'].apply(lambda x: 'HS' if x==1 else 'Non_HS')\r\n",
        "\r\n",
        "# Save new dataframe into csv file\r\n",
        "df.to_csv('Hate Speech Classification.csv', index=False)\r\n",
        "\r\n",
        "df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Label</th>\n",
              "      <th>Tweet</th>\n",
              "      <th>length</th>\n",
              "      <th>Case_folded</th>\n",
              "      <th>Tokenized</th>\n",
              "      <th>Stemmed</th>\n",
              "      <th>No_Slang</th>\n",
              "      <th>No_Stop</th>\n",
              "      <th>Ready</th>\n",
              "      <th>prediction</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>RT @spardaxyz: Fadli Zon Minta Mendagri Segera...</td>\n",
              "      <td>110</td>\n",
              "      <td>fadli zon minta mendagri segera menonaktifkan ...</td>\n",
              "      <td>[fadli, zon, minta, mendagri, segera, menonakt...</td>\n",
              "      <td>[fadli, zon, minta, mendagri, segera, nonaktif...</td>\n",
              "      <td>[fadli, zon, minta, mendagri, segera, nonaktif...</td>\n",
              "      <td>[fadli, zon, mendagri, nonaktif, ahok, gubernu...</td>\n",
              "      <td>fadli zon mendagri nonaktif ahok gubernur dki</td>\n",
              "      <td>Non_HS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0</td>\n",
              "      <td>RT @baguscondromowo: Mereka terus melukai aksi...</td>\n",
              "      <td>108</td>\n",
              "      <td>mereka terus melukai aksi dalam rangka memenja...</td>\n",
              "      <td>[mereka, terus, melukai, aksi, dalam, rangka, ...</td>\n",
              "      <td>[mereka, terus, luka, aksi, dalam, rangka, pen...</td>\n",
              "      <td>[mereka, terus, luka, aksi, dalam, rangka, pen...</td>\n",
              "      <td>[luka, aksi, rangka, penjara, ahok, ahok, gaga...</td>\n",
              "      <td>luka aksi rangka penjara ahok ahok gagal pemil...</td>\n",
              "      <td>Non_HS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0</td>\n",
              "      <td>Sylvi: bagaimana gurbernur melakukan kekerasan...</td>\n",
              "      <td>116</td>\n",
              "      <td>sylvi bagaimana gurbernur melakukan kekerasan ...</td>\n",
              "      <td>[sylvi, bagaimana, gurbernur, melakukan, keker...</td>\n",
              "      <td>[sylvi, bagaimana, gurbernur, laku, keras, per...</td>\n",
              "      <td>[sylvi, bagaimana, gurbernur, laku, keras, per...</td>\n",
              "      <td>[sylvi, gurbernur, laku, keras, perempuan, buk...</td>\n",
              "      <td>sylvi gurbernur laku keras perempuan bukti fot...</td>\n",
              "      <td>Non_HS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0</td>\n",
              "      <td>Ahmad Dhani Tak Puas Debat Pilkada, Masalah Ja...</td>\n",
              "      <td>115</td>\n",
              "      <td>ahmad dhani tak puas debat pilkada masalah jal...</td>\n",
              "      <td>[ahmad, dhani, tak, puas, debat, pilkada, masa...</td>\n",
              "      <td>[ahmad, dhani, tidak, puas, debat, pemilihan k...</td>\n",
              "      <td>[ahmad, dhani, tidak, puas, debat, pemilihan k...</td>\n",
              "      <td>[ahmad, dhani, puas, debat, pemilihan kepala d...</td>\n",
              "      <td>ahmad dhani puas debat pemilihan kepala daerah...</td>\n",
              "      <td>Non_HS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0</td>\n",
              "      <td>RT @lisdaulay28: Waspada KTP palsu.....kawal P...</td>\n",
              "      <td>79</td>\n",
              "      <td>waspada ktp palsu kawal pilkada</td>\n",
              "      <td>[waspada, ktp, palsu, kawal, pilkada]</td>\n",
              "      <td>[waspada, ktp, palsu, kawal, pemilihan kepala ...</td>\n",
              "      <td>[waspada, ktp, palsu, kawal, pemilihan kepala ...</td>\n",
              "      <td>[waspada, ktp, palsu, kawal, pemilihan kepala ...</td>\n",
              "      <td>waspada ktp palsu kawal pemilihan kepala daerah</td>\n",
              "      <td>Non_HS</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Label  ... prediction\n",
              "0      0  ...     Non_HS\n",
              "1      0  ...     Non_HS\n",
              "2      0  ...     Non_HS\n",
              "3      0  ...     Non_HS\n",
              "4      0  ...     Non_HS\n",
              "\n",
              "[5 rows x 10 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 74
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ipZlHnKFv4rh"
      },
      "source": [
        "## Predict New Data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GHUGVMxnvUs-",
        "outputId": "02cf55dd-5ccf-420c-80a9-d75e782ba557"
      },
      "source": [
        "input_tweet = ['dasar cina',\r\n",
        "               'panda adalaha hewan dari babi']\r\n",
        "\r\n",
        "def preProcessText(tweer):\r\n",
        "    new_tweets = []\r\n",
        "    for tw in texts:\r\n",
        "        tw = case_folding(tw)\r\n",
        "        tw = tokenized(tw)\r\n",
        "        tw = stemming(tw)\r\n",
        "        tw = removeSlang(tw)\r\n",
        "        tw = removeStopWords(tw)\r\n",
        "        tw = ' '.join(tw)\r\n",
        "        new_tweets.append(tw)\r\n",
        "\r\n",
        "    return new_tweets\r\n",
        "\r\n",
        "def predictNewData(tweets):\r\n",
        "    saved_model = joblib.load('Hate Speech Classifier.joblib') \r\n",
        "    saved_tfidf = joblib.load('Hate Speech TF-IDF Vectorizer.joblib')\r\n",
        "\r\n",
        "    vectorized_tweets = saved_tfidf.transform(tweets)\r\n",
        "    input_prediction = saved_model.predict(vectorized_tweets)\r\n",
        "\r\n",
        "    for i in range(len(input_tweet)):\r\n",
        "        if input_prediction[i]==1:\r\n",
        "            print('Input text:\\n', \r\n",
        "                input_tweet[i], \r\n",
        "                '\\nPrediction: \\nHate Speech!\\n')\r\n",
        "        else:\r\n",
        "            print('Input text:\\n', \r\n",
        "                input_tweet[i], \r\n",
        "                \"\\nPrediction: \\nNot a Hate Speech.\\n\")\r\n",
        "            \r\n",
        "predictNewData(input_tweet)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Input text:\n",
            " dasar cina \n",
            "Prediction: \n",
            "Hate Speech!\n",
            "\n",
            "Input text:\n",
            " panda adalaha hewan dari babi \n",
            "Prediction: \n",
            "Hate Speech!\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EeQXyiRCxfLi"
      },
      "source": [
        "# Stratified KFold CV"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KISaggRYvfWw"
      },
      "source": [
        "from sklearn.model_selection import StratifiedKFold"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dU2facujxALb"
      },
      "source": [
        "from sklearn.svm import SVC\r\n",
        "model = SVC(kernel='linear')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HPIf3EGWxBUn",
        "outputId": "be46f879-76e7-4e67-8656-53a5e58f836b"
      },
      "source": [
        "train_scores = []\r\n",
        "test_scores = []\r\n",
        "skf = StratifiedKFold(n_splits=5, shuffle=False, random_state=None)\r\n",
        "for train_index, test_index in skf.split(tfidf_vector, label):\r\n",
        "    X_train = tfidf_vector[train_index]\r\n",
        "    X_test = tfidf_vector[test_index]\r\n",
        "    y_train = label[train_index]\r\n",
        "    y_test = label[test_index]\r\n",
        "\r\n",
        "    #Train the model\r\n",
        "    model.fit(X_train, y_train) #Training the model\r\n",
        "    y_pred = model.predict(X_test)\r\n",
        "    prec = metrics.precision_score(y_test, y_pred)\r\n",
        "    rec = metrics.recall_score(y_test, y_pred)\r\n",
        "    f1 = metrics.f1_score(y_test, y_pred)\r\n",
        "    print(f\"Accuracy for the fold no. {i} on the test set: {metrics.accuracy_score(y_test, y_pred)}, doublecheck: {model.score(X_test,y_test)}\")\r\n",
        "    print(\"precision: \", prec)\r\n",
        "    print(\"recall: \", rec)\r\n",
        "    print(\"f1: \", f1)\r\n",
        "    print('\\n')\r\n",
        "\r\n",
        "    train_yhat = model.predict(X_train)\r\n",
        "    train_acc = metrics.accuracy_score(y_train, train_yhat)\r\n",
        "    train_scores.append(train_acc)\r\n",
        "    # evaluate on the test dataset\r\n",
        "    test_yhat = model.predict(X_test)\r\n",
        "    test_acc = metrics.accuracy_score(y_test, test_yhat)\r\n",
        "    test_scores.append(test_acc)\r\n",
        "    # summarize progress"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Accuracy for the fold no. 1017 on the test set: 0.7832167832167832, doublecheck: 0.7832167832167832\n",
            "precision:  0.7142857142857143\n",
            "recall:  0.6730769230769231\n",
            "f1:  0.6930693069306932\n",
            "\n",
            "\n",
            "Accuracy for the fold no. 1017 on the test set: 0.7202797202797203, doublecheck: 0.7202797202797203\n",
            "precision:  0.6578947368421053\n",
            "recall:  0.4807692307692308\n",
            "f1:  0.5555555555555556\n",
            "\n",
            "\n",
            "Accuracy for the fold no. 1017 on the test set: 0.8111888111888111, doublecheck: 0.8111888111888111\n",
            "precision:  0.7659574468085106\n",
            "recall:  0.6923076923076923\n",
            "f1:  0.7272727272727273\n",
            "\n",
            "\n",
            "Accuracy for the fold no. 1017 on the test set: 0.8661971830985915, doublecheck: 0.8661971830985915\n",
            "precision:  0.9714285714285714\n",
            "recall:  0.6538461538461539\n",
            "f1:  0.7816091954022988\n",
            "\n",
            "\n",
            "Accuracy for the fold no. 1017 on the test set: 0.8732394366197183, doublecheck: 0.8732394366197183\n",
            "precision:  0.9722222222222222\n",
            "recall:  0.6730769230769231\n",
            "f1:  0.7954545454545455\n",
            "\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 268
        },
        "id": "qUWgxjxKxQlW",
        "outputId": "6c067455-928c-4137-901d-ea1327ce2601"
      },
      "source": [
        "plt.plot(train_scores, '-o', label='Train')\r\n",
        "plt.plot(test_scores, '-o', label='Test')\r\n",
        "plt.legend()\r\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rwPjJs8ExWMP",
        "outputId": "48222dc0-8db5-4819-c132-5d1c20184191"
      },
      "source": [
        "print(model.score(X_train, y_train))\r\n",
        "print(model.score(X_test, y_test))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "0.9824868651488616\n",
            "0.8732394366197183\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 410
        },
        "id": "cyZj97pWxXSx",
        "outputId": "3beeac53-18d8-469e-e0f1-699dedc9c8a4"
      },
      "source": [
        "print_conf(y_test, y_pred, [0, 1], title=\"Confusion matrix SVC\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x432 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nVT-t2_7xbsC",
        "outputId": "39c84f01-7a60-435c-dc8d-35852dbd42d9"
      },
      "source": [
        "print(metrics.classification_report(y_test, y_pred))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.84      0.99      0.91        90\n",
            "           1       0.97      0.67      0.80        52\n",
            "\n",
            "    accuracy                           0.87       142\n",
            "   macro avg       0.91      0.83      0.85       142\n",
            "weighted avg       0.89      0.87      0.87       142\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}