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Salman-Khan-Mohammed / Tweets-Topic-Modeling-with-LDA-and-Interactive-Word-Cloud-Visualization

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This project focuses on analyzing tweets from Twitter using topic modeling techniques and interactive visualizations. It employs Latent Dirichlet Allocation (LDA) to discover topics within the tweet data and generates interactive word clouds based on topic-term strengths derived from the model. Users can explore topics and related tweets interactiv

twitter scraping data-collection lda tweets-extraction topic-modelling wordcloud-visualization ntscraper
  • Updated Jun 21, 2024
  • Jupyter Notebook

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