MaartenGr / MaartenGr/BERTopic
How to use Zero-Shot Classification with Open AI representation?
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 7.8k
- Forks
- 920
- Avg merge
- 22h 24m
- Merged PRs (30d)
- 5
Description
I would like to assign a topic label from candidate topic if new document is similar to already generated topic labels otherwise would like to assign new labels using Open AI.
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 file, test, or entry point is named. Start by reviewing BERTopic's zero-shot classification and representation capabilities, then determine how candidate topic labels should be compared with new documents and when OpenAI should generate a new label. Done means a documented, reproducible workflow or implementation that covers both existing-label matching and new-label creation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100