Topic modeling is an unsupervised machine learning technique that automatically identifies different topics present in a document (textual data). Data has become a key asset/tool to run many ...

Contextualized Topic Models (CTM) are a family of topic models that use pre-trained representations of language (e.g., BERT) to support topic modeling. See the papers for details: Bianchi, F., ...

This repository contains notebooks, slides, and data for the short tutorial "Topic modelling with Scikit-learn", presented at PyData Dublin in September 2017. To demonstrate the topic modelling ...