NBrisbon/Silmarillion-NLP
NLP project on "The Silmarillion" by J.R.R. Tolkien. Text and sentiment analyses using NLTK, VADER, Text Blob, and NRC Emotion Lexicon.
This project helps literary researchers and avid readers analyze the emotional tone and content of J.R.R. Tolkien's "The Silmarillion." It takes the raw text of the book and extracts key insights like word frequencies, most common nouns per chapter, and measures of how informative each chapter is. Users interested in detailed literary analysis, perhaps for academic study or deep fan engagement, would find this helpful.
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Use this if you want to understand the sentiment, key themes, and descriptive density of "The Silmarillion" chapter by chapter.
Not ideal if you're looking for a general-purpose text analysis tool for diverse document types or if you are not interested in this specific book.
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Last pushed
Jan 17, 2020
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