Extract keywords from multiple documents given a nested list of candidates for each document.
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- Python
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Description
It's mentioned extracting keywords from multiple documents is faster, is it possible to do this along with candidates. If I extract candidates using Yake for multiple documents, I cannot add a list of candidates list to .extract_keywords(). Hence I would extract keywords for each document in a loop, while adding the candidates list for doc.
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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 at the .extract_keywords() API and compare its multiple-document behavior with the per-document loop described in the issue. Trace how candidate lists are passed for one document, then define the multi-document input and verify that each document uses its corresponding candidates while preserving existing behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100