# huaban/jieba-analysis

结巴分词(java版)

Repository: https://github.com/huaban/jieba-analysis
Canonical: https://ross.abutalabs.com/products/jieba-analysis
Homepage: https://github.com/huaban/jieba-analysis
Language: Java
License: Apache-2.0
License Family: permissive
Last push: 2024-07-11T02:11:34+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4775, "days_push": 784, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2709, forks 848 (observed 2026-08-28T04:07:11.733284+00:00)

## What it is
A Java port of the popular jieba Chinese word segmentation library, supporting search and index segmentation modes, user dictionaries, and TF-IDF keyword extraction. It uses trie-based DAG scanning, dynamic programming, and HMM/Viterbi for unknown word recognition.

## Use cases
- segment chinese text into words in java
- tokenize chinese text for search indexing
- extract keywords from chinese text with tfidf
- add custom words to a chinese dictionary
- build a chinese full-text search engine in java

## When to choose
- you need Chinese word segmentation in a JVM application
- you want jieba-compatible segmentation or TF-IDF keyword extraction in Java
- you need fast segmentation (millions of words per second) for search indexing

## When to avoid
- you need part-of-speech tagging, which was removed for performance
- you are not working with Chinese text
- you need a Python or other non-JVM implementation

## Facets
- artifact type: library
- maturity: active
- function: nlp, parser, search-engine
- domain: -
- platform: jvm
- tags: chinese-word-segmentation, jieba, tfidf, keyword-extraction, tokenization, natural-language-processing, search, chinese-language

## Member repositories
- huaban/jieba-analysis (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:11.733284+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:15:40.197909+00:00, confidence not recorded.
  - readme: https://github.com/huaban/jieba-analysis (fetched 2026-08-28T04:07:11.733284+00:00, sha 295bb814e3db)
  - homepage: https://github.com/huaban/jieba-analysis (fetched 2026-08-29T09:58:42.545796+00:00, sha c01bdafe82f6)
- Data as of 2026-08-30T08:39:29.467469+00:00.