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This project focuses on analyzing Twitter trends to uncover popular topics, discussions, and user sentiments. By examining hashtags, keywords, and user interactions, valuable insights are gained in real-time social media data, aiding in understanding public opinion and identifying influential users.
This repository will guide you to understand basic operations and functions in Natural Language Processing using NLTK and also included small example on Sentimental Analysis.