Airline-sentiment

This Airline Sentiment Analysis is an application of Natural Language Processing(NLP). Airline sentiment gives out positive or negative reviews based on the review input of the customer.

This Airline Sentiment Analysis has 3 major files used for the deployment:

     Model.py - Used to train and save the model.
     Prediction.py - Used to make predictions from the saved model.
     Review.py - Used to serve the deployment purpose.

You can visualize this project using the Streamlit app by setting up these files locally and executing the command (streamlit run review.py)

There is a requirements.txt that contains some of the required libraries that are necessary to be imported at the time of the running of the Streamlit app.

Thank You!