This is our final project for UCLA's CS 263 Natural Language Processing course.
For this project, we developed several sentiment classifcation models including logistic regression, SVM, CNN, and LSTM. Having trained our sentiment classifiers, we analyze and compare their peformance. Lastly, using our classifier, we predict the sentiments of COVID-19 related tweets and analyze how sentiment towards COVID-19 trends over time on Twitter.
Before running script, please download data in the appropriate filepath as described in comments.
- Asher Niu
- Thomas Pan
- Travis Tu