MaartenGr / MaartenGr/BERTopic
suggestion: incorporating document-level covariates
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- Dominant language
- Python
- Stars
- 7.8k
- Forks
- 920
- Avg merge
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- Merged PRs (30d)
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Description
Hi
I'd like to suggest adding the option of document-level covariate (similar to STM in R). Basically it allows the user to investigate relationship between document-level covariates such as source (political affiliation for example), country, etc with topical prevalence. Is it feasible? it would make the package much more useful for social research.
Thank you!
Contributor guide
First steps
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Research direction
The issue names no files, tests, or entry points. Start by clarifying the intended document-level covariate inputs and topical-prevalence outputs, then compare the requested behavior with STM in R; done would require an agreed scope and feasibility decision.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, r
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100