Development of NLP data processor based on `Pretrained` model(s) and save the output to designed data model
- Dominant language
- Python
- Stars
- 8
- Forks
- 2
- Avg merge
- 14h 34m
- Merged PRs (30d)
- 46
Description
Title of ticket:
#### Description
This can be python component!!!. Extracted data need to be processed to find the PII - can use any pretained NLP model(s) / frameworks and also in combination to get best result.
#### Dependencies
Are there any dependencies?
#### DOD
- [ ] List the items that need to be complete for this ticket to be considered done
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Contributor guide
Research direction
The issue names no files, tests, entry points, data model, or chosen pretrained NLP framework. Start by identifying how extracted data currently flows and locating the designed output data model, then clarify the PII-processing requirements and model choice. Done means the component processes extracted data, identifies PII, and saves the result in the agreed data model.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data, machine-learning, security
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100