# isnowfy/snownlp

Python library for processing Chinese text

Repository: https://github.com/isnowfy/snownlp
Canonical: https://ross.abutalabs.com/products/snownlp
Language: Python
License: MIT
License Family: permissive
Last push: 2020-01-19T02:39:05+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4663, "days_push": 2419, "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 6633, forks 1346 (observed 2026-08-28T04:09:45.838566+00:00)

## What it is
SnowNLP is a Python library for processing Simplified Chinese text, offering word segmentation, part-of-speech tagging, sentiment analysis, keyword extraction, summarization, pinyin conversion, and traditional-to-simplified conversion. It implements its own algorithms with bundled trained dictionaries, inspired by TextBlob but tailored for Chinese.

## Use cases
- segment chinese text into words
- analyze sentiment of chinese product reviews
- extract keywords from chinese documents
- summarize chinese articles
- convert traditional chinese to simplified
- get pinyin for chinese characters
- compute tf-idf and text similarity for chinese corpora

## When to choose
- you need lightweight, dependency-free Chinese NLP in Python with pretrained models included
- you want simple sentiment analysis or keyword extraction for Chinese text without heavy frameworks
- you need pinyin conversion or traditional-to-simplified conversion

## When to avoid
- you need state-of-the-art Chinese NLP accuracy - modern transformer-based models outperform it
- your sentiment analysis domain is not e-commerce reviews, since training data is mostly shopping reviews
- you need actively maintained software - the last release was in 2020

## Facets
- artifact type: library
- maturity: maintenance
- function: nlp, parser, machine-learning
- domain: -
- platform: python, cross-platform
- tags: chinese, segmentation, sentiment-analysis, textblob-inspired, pinyin, traditional-to-simplified, natural-language-processing, chinese-text, text-analysis

## Member repositories
- isnowfy/snownlp (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:45.838566+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 2026-08-29T17:43:13.420253+00:00, confidence not recorded.
  - readme: https://github.com/isnowfy/snownlp (fetched 2026-08-28T04:09:45.838566+00:00, sha 552eb706bf66)
  - registry_pypi: https://pypi.org/pypi/snownlp/json (fetched 2026-08-29T08:39:32.108588+00:00, sha fba65c5c0d03)
- Data as of 2026-08-30T08:39:29.467469+00:00.