nbaTwitSent

Objective of

This project performs sentiment analysis on the NBA derived from Twitter data.

• /app - webapp files
• /data - database related files
• /twitter - twitter data collection files
• /nba_stats - nba statistics collection files

Getting started

Collecting tweets

1. Install python3
2. Install tweepy

• 'pip install tweepy'

3. Install textblob

• 'pip install textblob'
• 'python -m textblob.download_corpora'

4. Change directory to the data folder
5. Run db_prep.py
6. Change directory to the twitter folder
7. Add twitter credentials to credentials.py
8. Run twitter.py

Collecting nba stats

1. Install python3
2. Install nba_py

• 'pip install nba_py'

3. Change directory to nba_stats
4. Run create_db.py
5. Run nba_stats.py

Running webapp

1. Install nodejs
2. Change directory to app
3. Install required node modules

• 'npm install'

4. Run server

• 'node server.js'

TODO:

Frontend:

• Make use of API

Backend:

• Add more API calls
• nba_stats needs to run daily
• Code cleanup
• combine db_prep and create_db