NLP model
- Dominant language
- Python
- Stars
- 8
- Forks
- 2
- Avg merge
- 14h 34m
- Merged PRs (30d)
- 46
Description
## Description:
- Short Description of the needed Epic in the below format
* As a (who/ person)
* I want (what/ goal)
* so that (why/ benefit proposal)
* What are the most critical features being built as part of this Epic
Includes data extraction
* Expected Outcome – Justification why this Feature must be built, what is expected value and justification for priority.
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**Sizing**
* T-shirt size:
[ ] S
[ ] M
[ ] L
[ ] XL
(S=1-2 Sprints, M=2-3 Sprints, L=4-5 Sprints, XL=not sure, probably more than 5 Sprints).
* *Risks and Assumptions**
1. [ ] What are assumptions?
2. [ ] What are the risks?
3. [ ] Have we done an RFC on a technical approach?
4. [ ] Are the dependencies (technical, business, regulatory/policy) known?
5. [ ] Has work on this Epic been prioritized with key stakeholders?
Contributor guide
Research direction
The issue names an NLP model and data extraction but provides no files, tests, or entry points to inspect. Start by clarifying the intended users, features, technical approach, dependencies, and success criteria; the work is done when those requirements and an implementation plan are defined.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100