An advanced profanity filter based on English phonetics (how stuff sounds). For example, fck will get caught as fuck, but frck will not. Shat or shet will be caught as shit, but not shot.
- Tells you what swears and where they are used in a message
- Very resistant to filter bypassing attempts. Deviations to words will be caught and reported.
- Words with special characters can get caught (EG: ⓕ*ⓒⓚ)
- Words with certain deviations will get caught (EG: shat -> shit)
var checker = require("noswearing");
var result = checker("This Ⓕ*₵𝓴ing filter is the best shat I have ever seen");
/*
[ { original: 'Ⓕ*₵𝓴ing', // Original word in message
word: 'fucking', // Word in dataset
deviations: 2, // Number of deviations
info: 2, // 0 = not very offensive, 1 = maybe, 2 = profane
start: 5, // Start index of swear in original message
end: 12 }, // End index of swear in original message
{ original: 'shat',
word: 'shit',
deviations: 1,
info: 1,
start: 32,
end: 36 } ]
*/Lots of things can go wrong with phonetics, especially for a filter as simple as this. Usually, phonetic filters are much more advanced, with things like NLP and machine learning. However, I didnt have the time or the desire to do that since I only made this filter to be a little better than all the FREE filters out there. In addition, I am just a programmer, not an English expert. When making this, I took a different approach, and leaned more towards experimentation. Due to that there might be some cases where this filter will just be plain wrong. But, if you find something like that, please tell me so I can fix it. I can't fix a problem I dont know of.
Data is from Cuss - https://github.com/words/cuss
I didnt make it. I did modify some of it though, because the words there arn't very well-rated.
Here is their license:
(The MIT License)
Copyright (c) 2016 Titus Wormer <[email protected]>
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a copy of this software and associated documentation files (the
'Software'), to deal in the Software without restriction, including
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permit persons to whom the Software is furnished to do so, subject to
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included in all copies or substantial portions of the Software.
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