fhamborg/Giveme5W1H

Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?

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Emerging

This tool helps journalists, researchers, or analysts quickly understand the key details of news articles. It takes raw news text and automatically pulls out answers to the fundamental "who, what, when, where, why, and how" questions. The output provides a structured summary of the main event described in the article.

530 stars. No commits in the last 6 months.

Use this if you need to rapidly extract the core facts from a large volume of news articles, like for competitive analysis, trend monitoring, or historical research.

Not ideal if you need to analyze highly specialized documents beyond typical news articles, or if you require deep semantic understanding that goes beyond factual extraction.

journalism media-monitoring news-analysis fact-finding research
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 21 / 25

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Stars

530

Forks

85

Language

HTML

License

Apache-2.0

Last pushed

Oct 25, 2024

Commits (30d)

0

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curl "https://pt-edge.onrender.com/api/v1/quality/nlp/fhamborg/Giveme5W1H"

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