Obtained library of 57k books using R-programming module, and used natural language processing and NMF topic modeling on subgenres to visualize narrative patterns and sentiment shifts. Built flask app for visualization of results and used topics and sentiment analysis for recommendation system. (R, TextBlob, NLTK, CountVectorizer, TFIDF, NMF, Kmeans & TSNE clustering, Flask, Dash, Plotly)
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clarencestephen/Project-Gutenberg
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NLP analysis of Gutenberg library (R, TextBlob, NLTK, CountVectorizer, TFIDF, NMF, Kmeans & TSNE clustering, Flask, Dash, Plotly)
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