# fwwdn/sensitive-stop-words

互联网常用敏感词、停止词词库

Repository: https://github.com/fwwdn/sensitive-stop-words
Canonical: https://ross.abutalabs.com/products/sensitive-stop-words
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2026-03-10T06:56:02+00:00

## Health v2 (maintenance only)
Score: 64/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 71, release rhythm 35, longevity 100
- inputs: {"age_days": 4230, "days_push": 176, "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 1687, forks 652 (observed 2026-08-28T04:05:22.202192+00:00)

## What it is
A curated collection of Chinese sensitive-word and stopword lists for content moderation, text filtering, and NLP tokenization. It ships plain-text UTF-8 files covering categories like pornography, politics, ads, weapons, banned domains, and ~1,890 common stopwords.

## Use cases
- filter profanity and sensitive words from user comments
- moderate user-generated content before publishing
- remove stopwords before search indexing
- preprocess Chinese text for NLP pipelines
- block known bad domains in link scanning
- load word lists into a custom text filter in any language

## When to choose
- you need ready-made Chinese sensitive-word or stopword lists without dependencies
- you want language-agnostic plain-text word lists
- you need commercially usable lists under Apache-2.0

## When to avoid
- you need an actual matching/filtering engine rather than raw word lists
- you need English or multilingual word lists
- you need guaranteed legal accuracy of sensitive-word categorization

## Facets
- artifact type: dataset
- maturity: active
- function: nlp, search-engine, security
- domain: security
- platform: cross-platform
- tags: chinese, sensitive-words, stopwords, content-moderation, text-filtering, word-lists, natural-language-processing, search

## Member repositories
- fwwdn/sensitive-stop-words (main) score 64

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:22.202192+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 2026-08-30T03:38:51.403389+00:00, confidence not recorded.
  - readme: https://github.com/fwwdn/sensitive-stop-words (fetched 2026-08-28T04:05:22.202192+00:00, sha c34aa164c5d5)
- Data as of 2026-08-30T08:39:29.467469+00:00.