WuLC/KeywordExtraction
Implementation of algorithm in keyword extraction,including TextRank,TF-IDF and the combination of both
This project helps content strategists, researchers, or data analysts quickly identify the most important topics in Chinese text. It takes individual articles or large collections of documents as input and outputs a list of relevant keywords for each piece of content. This helps users understand the core subjects without needing to manually read through everything.
106 stars. No commits in the last 6 months.
Use this if you need to automatically extract key phrases from Chinese articles, reports, or document archives to summarize content or improve searchability.
Not ideal if you need to extract keywords from languages other than Chinese, or if your workflow does not involve Java.
Stars
106
Forks
38
Language
Java
License
MIT
Category
Last pushed
Sep 19, 2017
Commits (30d)
0
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