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thisandagain/sentiment

AFINN-based sentiment analysis for Node.js. observed · 2026-08-28

github.com/thisandagain/sentiment · JavaScript · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

23/100

  • Activity 0
  • Release rhythm 8
  • Longevity 100
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: 5077
  • days_rel: n/a
  • days_push: 2298
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2678 stars · 311 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Node.js module that performs sentiment analysis on text using the AFINN-165 wordlist and Emoji Sentiment Ranking. It supports custom languages, custom scoring strategies for negation and emphasis, and extending or overriding the wordlist.

Use cases

  • score sentiment of user reviews in node.js
  • analyze sentiment of tweets or comments
  • add custom sentiment words to a lexicon
  • support sentiment analysis in multiple languages
  • handle negation like 'not good' in sentiment scoring
  • fast lexicon-based sentiment analysis without ML models

When to choose

  • you need fast, lightweight lexicon-based sentiment scoring in Node.js
  • you want to customize the wordlist or add languages easily
  • you don't want to depend on heavy ML models or external services

When to avoid

  • you need state-of-the-art accuracy on sarcasm or context-dependent sentiment
  • you need languages beyond English without building them yourself
  • you need actively developed software with recent releases

Facets

library · maturity maintenance

nlp parser machine-learning developer-tools sentiment-analysis afinn text-analysis emoji-sentiment lexicon-based natural-language-processing nodejs javascript

2 sources

Member repositories

RepositoryRoleHealth v2
thisandagain/sentimentmain23

For agents

markdown · JSON · MCP: product_card(name="thisandagain/sentiment")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem