Comments (1)
The original idea of a library is to be a rough filter that provides basic filtering to the language that has space in the grammar e.g. English.
As mentioned in the "Summary" section
People will always find a way to connect with each other (e.g. Leet)
We knew that we can't completely filter it based on this algorithm.
For this situation that people find a way to trick the filter, which says we always have to catch up with the trick to prevent it. In this case, we are not so sure how to prevent it (if we are able to handle this specific trick we will face this kind of situation in the future).
Lastly, for more advanced techniques I might suggest addressing it with NLP-based technique and keep training the model to the recent one to catch up the temporal effects as well.
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Related Issues (11)
- leoProfanity.check('.') throws an error HOT 3
- The automated release is failing 🚨
- readme.md typo HOT 2
- index.spec.js tests not ran HOT 12
- [QUESTION] Multi-language HOT 3
- Count words filtered HOT 4
- Webpacked HOT 3
- Words with symbols in them and also spaced-out words get past the filter HOT 3
- Swears with duplicate characters are not detected HOT 1
- Support multiple languages HOT 2
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