MaartenGr / MaartenGr/BERTopic

Could we know the weights of each topic?

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Dominant language
Python
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Description

Dear Maarten,

This is Li Ma. Our group is doing a project which uses BERTopic. It is an awesome tool! Just have one question that if it's possible to know the weight value, which determine a topic we expect to occur more often, of each topic?

Thank you.

Li

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

No source file, test, or entry point is named in the issue. Begin by determining whether BERTopic already exposes per-topic weights, then clarify what “weight” means and identify the relevant implementation, documentation, and tests; done means the expected value is clearly defined and supported or documented.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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