This project aims to classify tweets as positive or negative using LSTM layers.
train_model/ directory includes the necessary files for training the sentiment analysis model, such as python scripts for data preprocessing, training, and evaluating the model, dataset and the trained model itself.
webapp/ directory includes the necessary files for building a web application, such as python script for running the web application, HTML templates, and static files such as CSS styles.
pruningtest/ directory includes the necessary files for optimizing the model.
TwitterAPI/ directory includes the necessary files for collecting tweets using the Twitter API, such as python scripts for authenticating and using the API, and code for collecting tweets.