duoergun0729/nlp
An open-source Chinese NLP introductory book covering word embeddings, document classification, and sentiment analysis techniques.
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This repository is an open-source NLP introductory book (一本开源的NLP入门书籍) covering fundamental NLP techniques including Word2Vec and Doc2Vec for text representation, FastText and multilayer perceptrons for document classification, LDA for topic modeling, TextRank and TFIDF for keyword extraction, and document similarity measurement. It also includes practical applications such as sentiment analysis on Yelp reviews and security-focused NLP use cases like spam detection and content moderation.
Frequently asked
- What is duoergun0729/nlp?
- An open-source Chinese NLP introductory book covering word embeddings, document classification, and sentiment analysis techniques.
- Is nlp open source?
- Yes — duoergun0729/nlp is an open-source project tracked on heatdrop.
- What language is nlp written in?
- duoergun0729/nlp is primarily written in Python.
- How popular is nlp?
- duoergun0729/nlp has 2.5k stars on GitHub.
- Where can I find nlp?
- duoergun0729/nlp is on GitHub at https://github.com/duoergun0729/nlp.