Welcome to the Sentiment Analysis Project! This project aims to analyze sentiments expressed in Twitter data using machine learning (ML), natural language processing (NLP), and deep learning (DL) techniques. By exploring tweets and decoding the emotions behind them, we aim to uncover valuable insights about user sentiments regarding various topics, products, and services.
- Objective: Understand user sentiments in tweets.
- Data Source: Twitter
- Technologies Used: ML, NLP, DL
- Programming Languages: Python
- Libraries Used: Keras, NLTK, scikit-learn , numpy , pandas , matplotlib