rutvik5/knowledge-graph
Generate knowledge graph from unstructured text
This project helps anyone working with large volumes of unstructured text, such as research papers, news articles, or customer feedback, to extract key relationships and entities. You provide raw text files, and it processes them to identify important people, places, organizations, and concepts, along with how they relate to each other. The output is a structured CSV file that can be used to visualize a knowledge graph, making complex information easier to understand for analysts or researchers.
No commits in the last 6 months.
Use this if you need to quickly understand the main entities and their connections within a collection of documents without manually reading through everything.
Not ideal if you're looking for an online service or a tool with a graphical user interface, as this requires command-line execution and some setup.
Stars
74
Forks
22
Language
Python
License
—
Category
Last pushed
Mar 15, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/rutvik5/knowledge-graph"
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