improve stopwords in ontology_manager.py

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Assessment

Difficulty
2/5
Estimated time
1-3 hours
Newbie friendliness
45/100
Issue type
Bug
Clarity
Mostly clear
Activity status
Stale
Tech stack
python
Domain
security

Research direction

Open ontology_manager.py and inspect how its stopwords list is defined and used when producing NER/PII entities. Review the wordfreq approach linked in the issue, then verify that examples such as "best" and "much" are treated as stopwords and are no longer returned as entities.

Written by the indexing model from the issue text.

Description

Improve the stopwords list in ontology_manager.py for example using https://github.com/rspeer/wordfreq.

This allows us to do better lexicon. For example, words like "best" and "much" are stopwords and should not be returned as NER/PII entities.

Dominant language
Python
Stars
9
Forks
6
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