tutorial on text models (topic models, word2vec, sentiment analysis)
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 15/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- jupyter-notebook, python
- Domain
- documentation, machine-learning
Research direction
The issue body names no files, tests, or entry points. Start by reviewing the repository's existing tutorial structure and conventions, then determine how topic models, word2vec, and sentiment analysis should be scoped. Done means a tutorial covering the three named text-model topics, but the issue provides no acceptance criteria.
Written by the indexing model from the issue text.
Description
This issue has no description.
- Dominant language
- Jupyter Notebook
- Stars
- 17
- Forks
- 4
- 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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