AimeeLee77/keyword_extraction

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1145 stars · 374 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python project implementing Chinese text keyword extraction using three methods: TF-IDF, TextRank, and Word2Vec word clustering. It includes a detailed tutorial-style walkthrough with sample patent text data and Chinese stopword dictionaries.

Use cases

• extract keywords from Chinese text
• compare TF-IDF and TextRank keyword extraction
• cluster words with Word2Vec to find document keywords
• learn Chinese NLP keyword extraction in Python
• extract keywords from patent abstracts
• build Chinese word embeddings with Gensim

When to choose

• you need to extract keywords from Chinese-language documents
• you want a learning resource explaining TF-IDF, TextRank, and Word2Vec clustering side by side
• you are working with patent or technical Chinese corpora

When to avoid

• you need a production-ready maintained library with a license
• you need multilingual keyword extraction beyond Chinese
• you need Python 3 compatibility guarantees, since it was built on Python 2.7

Facets

library · maturity maintenance

nlp parser machine-learning machine-learning python keyword-extraction tf-idf textrank word2vec chinese-text jieba gensim text-summarization natural-language-processing chinese-language

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