cltl / cltl/python-for-text-analysis
Assignment 3
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- Dominant language
- Jupyter Notebook
- Stars
- 454
- Forks
- 190
- PR merge metrics
- No merged PRs in 30d
Description
Assignment 3 is too long and there's not really a payoff at the end, because the user profiling etc don't work well enough. The data is just too noisy. I would recommend cutting out everything after the sentiment analysis part.
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.
Research direction
Locate Assignment 3 and identify where the sentiment analysis section ends. Review the material after that point, including user profiling, and remove the post-sentiment-analysis content. Done means Assignment 3 ends after sentiment analysis and no longer includes the noisy profiling work.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python
- Domain
- content, documentation
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100