Sentiment is a project that analyzes the emotions of Bwog comments.
Data for the sentiment project is taken from a Columbia campus news site, Bwog. In the future, the project may expand to include the Columbia Spectator.
Currently, TextBlob is the library used to perform sentiment analysis on the comment data using natural language processing.
|-- README.md
|-- Vagrantfile
|-- bootstrap.sh
|-- sentiment
\
|-- days.py
|-- sentiment.py
|-- __init__.py
|-- config
\
|-- __init__.py
|-- db
\
|-- app.db
|-- models
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|-- day.py
|-- __init__.py
|-- scraper
\
|-- scraper.py
|-- __init__.py
|-- static
\
|-- css
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|-- colors.css
|-- style.css
|-- js
\
|-- readmore.js
|-- resources.js
|-- templates
\
|-- index.html
|-- layout.html
- Kimberly Tao
- Sophie Stadler
- Jackie Luo
- Kevin Shen