# shangjingbo1226/AutoPhrase

AutoPhrase: Automated Phrase Mining from Massive Text Corpora

Repository: https://github.com/shangjingbo1226/AutoPhrase
Canonical: https://ross.abutalabs.com/products/autophrase
Language: C++
License: Apache-2.0
License Family: permissive
Topics: quality-phrases, text-mining, multi-language, automatic, phrase, lexicon, compound-words
Last push: 2022-01-27T15:16:36+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": 3562, "days_push": 1679, "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 1202, forks 271 (observed 2026-08-28T04:03:58.495369+00:00)

## What it is
AutoPhrase is a C++/Java tool for automated phrase mining that extracts quality phrases from massive text corpora with minimal human effort, leveraging existing knowledge bases for distant supervision. It supports multiple languages including English, Spanish, and Chinese with automatic language detection.

## Use cases
- extract quality phrases from large text corpora
- mine compound words and multi-word expressions automatically
- build a domain phrase lexicon from raw documents
- segment text into phrases for downstream NLP tasks
- mine key phrases from Chinese or Spanish text
- preprocess corpora by identifying salient phrases

## When to avoid
- you need a maintained library with active development and recent fixes
- you want a pure Python or pip-installable solution
- your corpus is small and simple keyword extraction would suffice

## Facets
- artifact type: library
- maturity: maintenance
- function: nlp, parser, data-science
- domain: data-science
- platform: cpp
- tags: phrase-mining, quality-phrases, text-mining, multi-language, lexicon-extraction, natural-language-processing, linux, macos, docker

## Member repositories
- shangjingbo1226/AutoPhrase (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:58.495369+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 2026-08-30T06:20:37.888384+00:00, confidence not recorded.
  - readme: https://github.com/shangjingbo1226/AutoPhrase (fetched 2026-08-28T04:03:58.495369+00:00, sha 46dd2723238d)
- Data as of 2026-08-30T08:39:29.467469+00:00.