# fighting41love/cocoNLP

A Chinese information extraction tool.

Repository: https://github.com/fighting41love/cocoNLP
Canonical: https://ross.abutalabs.com/products/coconlp
Language: Python
License Family: other
Last push: 2022-06-28T14:37:23+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": 2847, "days_push": 1527, "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 1128, forks 251 (observed 2026-08-28T04:03:41.958084+00:00)

## What it is
cocoNLP is a Python library for Chinese information extraction from unstructured text. It extracts emails, phone numbers (with carrier and location), ID numbers, addresses, times, names, and keyword phrases using RAKE.

## Use cases
- extract emails and phone numbers from Chinese text
- parse addresses and timestamps from Chinese messages
- extract Chinese ID card numbers from text
- find phone number carrier and location in China
- extract keyword phrases from Chinese documents
- build a missing-person weibo bot that parses reports

## When to choose
- you need rule-based extraction of contact info from Chinese text without training models
- you want a lightweight pip-installable Chinese NLP extractor
- you need Chinese phone number geolocation and carrier lookup

## When to avoid
- you need general-purpose Chinese NLP like segmentation or NER at scale
- you need actively maintained software with a license and recent updates
- your text is not Chinese

## Facets
- artifact type: library
- maturity: maintenance
- function: nlp, parser, data-science
- domain: -
- platform: python, windows
- tags: chinese-nlp, information-extraction, email-extraction, phone-number-extraction, address-extraction, time-extraction, keyword-extraction, rake, natural-language-processing, macos, linux

## Member repositories
- fighting41love/cocoNLP (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:41.958084+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 2026-08-30T06:38:33.089868+00:00, confidence not recorded.
  - readme: https://github.com/fighting41love/cocoNLP (fetched 2026-08-28T04:03:41.958084+00:00, sha 02bb620b2bc1)
- Data as of 2026-08-30T08:39:29.467469+00:00.