MaartenGr / MaartenGr/BERTopic
How to calculate topic correlation in topic modeling?
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- Python
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Description
We know that for any single post, it is possible to calculate the probability distribution, but can we do the same thing on topics?
That is, how to calculate the topic correlation after modeling? @MaartenGr
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
No files, tests, or entry points are mentioned. Start by clarifying what “topic correlation” should measure after modeling and whether the request is for an API capability or explanatory documentation. Done means providing an agreed method with a documented expected result.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100