# ownthink/Jiagu

Jiagu深度学习自然语言处理工具  知识图谱关系抽取 中文分词 词性标注 命名实体识别 情感分析 新词发现 关键词 文本摘要 文本聚类

Repository: https://github.com/ownthink/Jiagu
Canonical: https://ross.abutalabs.com/products/jiagu
Homepage: https://www.ownthink.com/
Language: Python
License: MIT
License Family: permissive
Topics: nlp, cws, pos, ner, chinese-word-segmentation
Last push: 2022-05-07T01:51:20+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": 2803, "days_push": 1580, "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 3425, forks 606 (observed 2026-08-28T04:08:03.910638+00:00)

## What it is
Jiagu is a Python library for Chinese natural language processing built on deep learning models trained on large-scale corpora. It provides Chinese word segmentation, part-of-speech tagging, named entity recognition, sentiment analysis, knowledge graph relation extraction, keyword extraction, text summarization, new word discovery, and text clustering.

## Use cases
- segment chinese text into words
- chinese part-of-speech tagging
- named entity recognition for chinese text
- extract relations for knowledge graphs from chinese text
- extract keywords from chinese documents
- summarize chinese articles
- sentiment analysis of chinese text
- discover new words from a corpus

## When to choose
- you need an easy pip-installable toolkit for Chinese NLP tasks like segmentation, NER, and sentiment analysis
- you want relation extraction to bootstrap a Chinese knowledge graph from encyclopedic descriptions
- you need offline Chinese text mining utilities such as keyword extraction, summarization, or new word discovery

## When to avoid
- you need production-grade NER or relation extraction with state-of-the-art accuracy and active support
- you primarily work with non-Chinese text
- you need long-term maintenance guarantees - the latest release dates to 2022

## Facets
- artifact type: library
- maturity: maintenance
- function: nlp, machine-learning, parser
- domain: machine-learning, large-language-models
- platform: python, cross-platform
- tags: chinese-nlp, word-segmentation, named-entity-recognition, part-of-speech-tagging, sentiment-analysis, relation-extraction, knowledge-graph, text-summarization, keyword-extraction, new-word-discovery, text-clustering, natural-language-processing

## Member repositories
- ownthink/Jiagu (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:03.910638+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 2026-08-29T18:38:04.618721+00:00, confidence not recorded.
  - readme: https://github.com/ownthink/Jiagu (fetched 2026-08-28T04:08:03.910638+00:00, sha d8cac56f9b97)
  - homepage: https://www.ownthink.com/ (fetched 2026-08-29T09:32:20.607996+00:00, sha 4e1077973fb1)
  - site_page: https://www.ownthink.com/AboutUs (fetched 2026-08-29T09:32:20.610559+00:00, sha 4e1077973fb1)
  - registry_pypi: https://pypi.org/pypi/jiagu/json (fetched 2026-08-29T09:32:20.612387+00:00, sha 5a81047a679d)
- Data as of 2026-08-30T08:39:29.467469+00:00.