fhamborg/Giveme5W1H
Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?
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.
Stars
530
Forks
85
Language
HTML
License
Apache-2.0
Category
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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