rutvik5/knowledge-graph

Generate knowledge graph from unstructured text

36
/ 100
Emerging

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.

text-analysis information-extraction research-analytics document-intelligence data-visualization
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 8 / 25
Community 19 / 25

How are scores calculated?

Stars

74

Forks

22

Language

Python

License

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"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.