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spam-sms-detection

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Transformer-BERT-SMS-Spam-Detection

Tejas-TA / Transformer-BERT-SMS-Spam-Detection

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Spam SMS Detection Project implemented using NLP & Transformers. DistilBERT - a hugging face Transformer model for text classification is used to fine-tune to best suit data to achieve the best results. Multinomial Naive Bayes achieved an F1 score of 0.94, the model was deployed on the Flask server. Application deployed in Google Cloud Platform

machine-learning natural-language-processing bag-of-words matplotlib confusion-matrix flask-api nlp-machine-learning stemming lemmatization scikitlearn-machine-learning multinomial-naive-bayes attention-is-all-you-need joblib bert-model tfidf-vectorizer tensorflow2 huggingface-transformers lightgbm-classifier roc-auc-curve spam-sms-detection
  • Updated May 1, 2023
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