We are thrilled to announce a significant update to the BERTopic Python library, expanding its capabilities and further streamlining the workflow for topic modelling enthusiasts and practitioners.

R wrapper around the excellent Python library BERTopic for transformer-based topic modeling without leaving R. This package manages a separate Python environment, calls the Python API through ...

Modeling topics in short texts presents significant challenges due to feature sparsity, particularly when analyzing content generated by large-scale online users. This sparsity can substantially ...

After training the model, you can access the size of topics in descending order.Topic -1 is the largest and it refers to outliers tweets that do not assign to any topics generated. In this case, we ...