Sentiment Analysis

Sentiment analysis of 1.6 million tweets using deep learning techniques, including RNN, CNN-LSTM, BiLSTM, Stacked GRU, BiGRU, and Transformer models. The project demonstrates effective data preprocessing, model optimization, and the implementation of advanced NLP methods for text classification.