nicolay-r/ARElight

Granular Viewer of Sentiments Between Entities in Massively Large Documents and Collections of Texts, powered by AREkit

48
/ 100
Emerging

This tool helps you understand the emotional connections and relationships between specific people, organizations, or locations mentioned in large collections of documents. You input raw text files or CSVs, and it generates an interactive graph showing which entities are related and the sentiment (positive, negative, or neutral) of those relationships. It's designed for analysts, researchers, or anyone needing to extract granular sentiment insights from vast amounts of text.

Available on PyPI.

Use this if you need to deeply analyze sentiments and relationships between named entities within very large text datasets, like news articles, social media feeds, or research papers.

Not ideal if you're looking for a simple keyword sentiment analysis or don't need to identify specific relationships between named entities.

sentiment-analysis text-mining relationship-extraction social-media-listening content-analysis
Maintenance 10 / 25
Adoption 7 / 25
Maturity 25 / 25
Community 6 / 25

How are scores calculated?

Stars

38

Forks

2

Language

Jupyter Notebook

License

MIT

Last pushed

Mar 09, 2026

Commits (30d)

0

Dependencies

14

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/nicolay-r/ARElight"

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