Data Input (vs. LDA & NMF) about bertopic HOT 1 CLOSED

I am not sure as to why you would get only 1 cluster. It could be that your data is relatively small or that the minimum cluster size is too large. It might even be that your sentences are too short or overcleaned after preprocessing.

Another reason might be due to Umap, it is stochastic by nature which results in different results every time you run it. It might be strange advice, but perhaps try running it again?

When it comes to long text files, there are several methods for extracting the correct embeddings. Currently, you only input documents into BERTopic. However, I am planning on creating an option for using your own embeddings. This would allow you to embed paragraphs and apply mean pooling to merge them to a single embedding for the long text. Similarly, it would also allow you to choose any other transformer model that might be better suited for embedding long texts.

from bertopic.