BrambleXu/news-graph
Key information extraction from text and graph visualization
This tool helps you quickly understand the core subjects and connections within a news article or any block of text. You input a text, and it outputs an interactive graph visually linking people, organizations, places, and key concepts. Anyone who needs to extract and visualize key information and relationships from written content, such as a researcher, analyst, or journalist, would find this useful.
No commits in the last 6 months.
Use this if you need to rapidly grasp the main entities and their relationships in a news piece, report, or document without reading every word.
Not ideal if you require deep semantic understanding or highly nuanced sentiment analysis beyond basic entity and keyword extraction.
Stars
90
Forks
31
Language
Python
License
MIT
Category
Last pushed
Jun 07, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/BrambleXu/news-graph"
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