# MojoJolo/textteaser

TextTeaser is an automatic summarization algorithm.

Repository: https://github.com/MojoJolo/textteaser
Canonical: https://ross.abutalabs.com/products/textteaser
Language: Scala
License: MIT
License Family: permissive
Last push: 2018-02-07T06:42:57+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": 4718, "days_push": 3129, "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 1967, forks 248 (observed 2026-08-28T04:05:59.941130+00:00)

## What it is
TextTeaser is an automatic text summarization algorithm written in Scala that combines natural language processing and machine learning to produce summaries. It is a JVM library runnable via SBT, with a separate Python port available.

## Use cases
- summarize long articles automatically
- extract key sentences from documents
- generate article summaries for news feeds
- shorten text content for previews
- build a text summarization service

## When to choose
- you need extractive summarization on the JVM in Scala
- you want a simple, lightweight summarization algorithm to embed in a Scala/Java project
- you prefer an MIT-licensed summarizer you can modify

## When to avoid
- you need abstractive or neural summarization quality
- you want an actively maintained project with recent releases
- you work in Python and can use the ported version instead
- you need multilingual summarization out of the box

## Facets
- artifact type: library
- maturity: maintenance
- function: nlp, machine-learning
- domain: machine-learning
- platform: jvm, cross-platform
- tags: summarization, text-summarization, scala, extractive-summarization, natural-language-processing

## Member repositories
- MojoJolo/textteaser (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:59.941130+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 2026-08-30T03:05:13.373876+00:00, confidence not recorded.
  - readme: https://github.com/MojoJolo/textteaser (fetched 2026-08-28T04:05:59.941130+00:00, sha 61abed733e37)
- Data as of 2026-08-30T08:39:29.467469+00:00.