simple document vectors
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 20/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- jupyter-notebook
- Domain
- machine-learning
Research direction
The issue proposes document vectors using TF-IDF, BoV, GloVe, or word2vec but names no file, notebook, entry point, or dataset. Start by locating the document-vector pipeline and comparing the available approaches; the work is done when one defined representation is integrated and its usefulness is evaluated.
Written by the indexing model from the issue text.
Description
tfidf BoV or GLOVe or w2v... any of those are probably good enough
- Dominant language
- Jupyter Notebook
- Stars
- 2
- Forks
- 0
- PR merge metrics
- No merged PRs in 30d
Getting set up
- Ships a Dockerfile or Docker Compose file
- No pull request template
- No contributing 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.
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