How can I use the KeyBERT if I have tokenized Chinese documents by myself?
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Description
I have seen the #45 and the [api document](https://maartengr.github.io/KeyBERT/faq.html#how-can-i-use-keybert-with-chinese-documents), but I only find the usage of using customize tokenizer before extracting keyword.
I'm wondering if I could use the `extract_embedding` without giving the vectorizer, that is I pass the **Chinese** documents that have been tokenized.
Does this work well, or the current model must use the tokenizer?
If possible, could you give me some example?
Thanks a lot~
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- 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.
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Research direction
Start with issue #45 and the Chinese-documents FAQ entry, then inspect the usage around extract_embedding and the vectorizer. Determine whether pre-tokenized Chinese documents are supported and document a working example or the limitation, with the FAQ clearly answering the question.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100