Metadata-Version: 2.1
Name: labelled-topic-clustering
Version: 1.0.4
Summary: Super Simple Topic Clustering
Home-page: https://github.com/tomhaydn/super-simple-topic-clustering
Author: Tom Haydn
License: MIT
Requires-Python: >=3.9
Description-Content-Type: text/markdown
Requires-Dist: sentence-transformers ==2.2.2
Requires-Dist: gensim ==4.3.0
Requires-Dist: spacy ==3.5.3
Provides-Extra: dev
Requires-Dist: pytest >=7.0 ; extra == 'dev'
Requires-Dist: twine >=5.0.1 ; extra == 'dev'

## Super Simple Topic Clustering

Super Simple Topic Clustering is as the name suggests, feed it an array of sentences and it will cluster them with human-readable names.
