A sentiment analysis project. The corpus are scraped tweets from 2015 to 2019. This project uses TFIDF and LDA for keyword extraction and a wordcloud visualisation.
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Updated
Apr 22, 2023 - Jupyter Notebook
A sentiment analysis project. The corpus are scraped tweets from 2015 to 2019. This project uses TFIDF and LDA for keyword extraction and a wordcloud visualisation.
Novel approach to detect offensive and derogatory speech over the micro-blogging website- "Twitter"
The system provides a list of the top 10 movies that have the highest likelihood of being liked by the user.
The goal of this project is to build a content-based movie recommender system. The system provides movie recommendations to users based on the content and descriptions of movies they have shown interest in.
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