MaartenGr / MaartenGr/BERTopic
Different Topics when compiled many times on the same dataset
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 7.8k
- Forks
- 920
- Avg merge
- 22h 24m
- Merged PRs (30d)
- 5
Description
I ran the code and got 10 topics but previously when i ran the code last year i could see 16 topics. I have already set the random state in umap model. However, is it because of warnings received because of the splitting of documents.

even the the number of input files and the output files don't match.

Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue provides no code, file, test, or reproducible dataset to start from. Compare the UMAP configuration, document-splitting warnings, and input/output file counts using a reproducible example; done means identifying why topic counts differ or documenting the missing conditions needed to reproduce it.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100