Project Topic:

Perform sentiment analysis on Twitter tweets related to airline customers' experiences to inform travelers about airline perfomance.

Project Demo Walkthrough Video

https://mediaspace.illinois.edu/media/t/1_b4gbvvnm

Software Usage Details

1. Clone the github repository
   git clone https://github.com/AmeyaMalekar/airline-sentiment-analysis.git
2. In one terminal, navigate to the backend folder
   cd backend
3. Run server.py
   python3 server.py
4. In a separate terminal run npm start
   npm start

Website Pages

1. Home Page - Provides an overview of our project with links to all the different pages.
2. Dataset Overview Page - Dive into the dataset we used as well as key metrics related to our model's performance.
3. Sentiment Analysis Page - Explore how our model performed on our dataset with key insights into why a particular sentiment was assigned to each tweet.
4. Sentiment Search Page - See our model in action! Our best performing model (Logistic Regression) is made available for you. Type in a sample tweet about an airline and see what sentiment our model assigns.