How to Run

Run "streamlit run app.py" to launch the app in a browser

Within the app, insert the tweet you'd like to perform sentiment classification on and enter the year range of the tweets

Files

classifier.ipynb - jupyter notebook used for building a sentiment classifier

twitter.ipynb - jupyter notebook used for webscraping, later converted to a python script (app.py) to run as an app

app.py - python application with dynamic sentiment classification of tweets based on user input

Amazon app review dataset obtained from: http://jmcauley.ucsd.edu/data/amazon/

Tweets obtained from Twitter using webscraping (TWINT)

LogisticRegression with 84% accuracy