# goto456/stopwords

中文常用停用词表（哈工大停用词表、百度停用词表等）

Repository: https://github.com/goto456/stopwords
Canonical: https://ross.abutalabs.com/products/stopwords
License Family: other
Last push: 2024-01-25T09:41:04+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3186, "days_push": 951, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5538, forks 2241 (observed 2026-08-28T04:09:22.092727+00:00)

## What it is
A collection of commonly used Chinese stopword lists, including the HIT (Harbin Institute of Technology), Baidu, Sichuan University, and general Chinese stopword lists, provided as plain text files. It is a data resource for filtering out common words during Chinese text preprocessing.

## Use cases
- filter stopwords from Chinese text before indexing
- preprocess Chinese text for NLP tasks like classification or clustering
- remove common words when building a Chinese search engine
- clean tokenized Chinese text for keyword extraction
- use standard stopword lists in Chinese word segmentation pipelines

## When to choose
- you need ready-made, widely used Chinese stopword lists in plain text format
- you are building a Chinese search engine or text analysis pipeline and want to filter noise words
- you want multiple authoritative stopword sources (HIT, Baidu, SCU) in one place

## When to avoid
- you need stopword lists for languages other than Chinese
- you need a library or API rather than raw text files
- you require actively maintained or customizable stopword management

## Facets
- artifact type: dataset
- maturity: stable
- function: nlp, search-engine
- domain: data-science
- platform: cross-platform
- tags: chinese, stopwords, text-processing, word-lists, natural-language-processing

## Member repositories
- goto456/stopwords (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:22.092727+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 2026-08-29T17:55:43.044719+00:00, confidence not recorded.
  - readme: https://github.com/goto456/stopwords (fetched 2026-08-28T04:09:22.092727+00:00, sha 1be1615810e9)
- Data as of 2026-08-30T08:39:29.467469+00:00.