Universe

textnets

Text analysis with networks

textnets represents collections of texts as networks of documents and words. This provides novel possibilities for the visualization and analysis of texts.

Example

import textnets as tn corpus = tn.Corpus(tn.examples.moon_landing) t = tn.Textnet(corpus.tokenized(), min_docs=1) t.plot(label_nodes=True, show_clusters=True, scale_nodes_by="birank", scale_edges_by="weight")

Author info

John Boy

GitHubjboynyc/textnets

Categories visualizers standalone

Found a mistake or something isn't working?

If you've come across a universe project that isn't working or is incompatible with the reported spaCy version, let us know by opening a discussion thread.


Submit your project

If you have a project that you want the spaCy community to make use of, you can suggest it by submitting a pull request to the spaCy website repository. The Universe database is open-source and collected in a simple JSON file. For more details on the formats and available fields, see the documentation. Looking for inspiration your own spaCy plugin or extension? Check out the project idea label on the issue tracker.

Read the docsJSON source