Chinese documents and candidates
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- Dominant language
- Python
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- 4.2k
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Description
I'm using jieba for tokenization for my Chinese documents, as suggested here in the issues and in the documentation. It also says in the documentation that if I use a vectorizer, I cannot use a candidates lists. In that case, is there a way to use a candidates lists with Chinese documents?
Contributor guide
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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 with the documentation sections covering jieba, vectorizers, and candidate lists, then trace the documented KeyBERT usage for Chinese documents. Determine whether candidate lists can be combined with vectorizer-based processing; done means the supported behavior and any required documentation change are clearly established.
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
- 25/100