MojoJolo/textteaser
TextTeaser is an automatic summarization algorithm. observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 4718
- days_rel: n/a
- days_push: 3129
- n_releases_24m: 0
Adoption not part of the score
1967 stars · 248 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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
library · maturity maintenance
nlp machine-learning machine-learning jvm cross-platform summarization text-summarization scala extractive-summarization natural-language-processing
1 source
- readme: https://github.com/MojoJolo/textteaser · fetched 2026-08-28 · 61abed733e37
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| MojoJolo/textteaser | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="MojoJolo/textteaser")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem