using with word vectors?
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 15/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- javascript, redis
- Domain
- backend, machine-learning
Research direction
No file, test, or entry point is named. Start by reading the classifier's demo and Redis-backed implementation, then determine whether pretrained word vectors or embeddings are supported and what integration would be required for the FAQ use case; done means the project has a decided, documented approach.
Written by the indexing model from the issue text.
Description
Can I use this classifier with word vectors / embeddings? I am trying to do a FAQ system, and I have a database of questions + answers. But without including a pretrained model of separate word vectors it would not be very useful, relying on just the exact words.
eg "free watches" in your demo works but the system could not infer anything from "free time-pieces" which word vectors would help with.
- Dominant language
- JavaScript
- Stars
- 10
- Forks
- 2
- PR merge metrics
- No merged PRs in 30d
Contributor guide
No contributing guide indexed for this repository
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.
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