indentlabs / indentlabs/dactyl
Metric category: fallacies
Open
feature
feedback
- Dominant language
- Ruby
- Stars
- 7
- Forks
- 3
- PR merge metrics
- No merged PRs in 30d
Description
Not sure how realistic this is yet, but someone suggested detecting and displaying fallacies in text. Might be able to design some rough detection for some one by one; unlikely to design something that just reads and understands fallacies as a whole.
https://en.wikipedia.org/wiki/List_of_fallacies
Contributor guide
No contributing guide indexed for this repository
Research direction
No files, tests, or entry points are identified in the issue. Start by reviewing the project structure and the linked list of fallacies, then define a limited set of detectable fallacies and how results should be displayed; the issue does not specify acceptance criteria.
Written by the indexing model from the issue text.
Assessment
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100