jboynyc/textnets
Text analysis with networks.
This tool helps researchers and analysts understand relationships within text collections by representing them as networks. You input a corpus of documents, and it outputs network visualizations and analyses showing how words and documents connect to each other. Social scientists, political analysts, and anyone studying communication patterns can use this to gain insights.
293 stars. Available on PyPI.
Use this if you need to visualize and analyze the connections between words and documents in a collection of texts to uncover underlying themes or communities.
Not ideal if you're looking for simple keyword extraction or sentiment analysis without needing to explore the intricate relationships within your text data.
Stars
293
Forks
23
Language
Python
License
GPL-3.0
Category
Last pushed
Jan 16, 2026
Commits (30d)
0
Dependencies
11
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/jboynyc/textnets"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
ryanjgallagher/shifterator
Interpretable data visualizations for understanding how texts differ at the word level
HLasse/TextDescriptives
A Python library for calculating a large variety of metrics from text
DemetersSon83/Quantitative-Discursive-Analysis
A tool for quantitatively measuring discursive similarity between bodies of text.
sciknoworg/tib-sid
TIB-SID: A bilingual (English/German) dataset of library catalog records with GND subject...
harrisonpim/bookworm
:books: social networks from novels