Twitter Sentiment Analysis using Deep Learning

This project uses deep learning techniques, such as Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM), to perform sentiment analysis on Twitter data. By leveraging Twitter API to collect tweets and NLP techniques to preprocess the text, deep learning models are trained to classify sentiment. The deep learning approach allows the system to learn from large datasets and improve the accuracy of sentiment classification over time.