MaartenGr / MaartenGr/BERTopic
Issue when using topic representation
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- Dominant language
- Python
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Description
When we use topic representation by openai , even when we specify top_n_words . it still takes in all the keyphrases and comes up with a topic representation . And The other issue is that as the chatgpt doesn't always return the response in the format that we need its better to include function calling internally in the topic representation block (openai) .
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
Start by locating the OpenAI topic representation implementation and inspect how top_n_words is applied before the representation request. Check the response-handling path and determine the expected function-calling behavior; done means the word limit is respected and responses consistently match the required format.
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
- Mostly clear
- Newbie friendliness
- 35/100