问题
Like https://stackoverflow.com/questions/1521646/best-profanity-filter, but for Python — and I’m looking for libraries I can run and control myself locally, as opposed to web services.
(And whilst it’s always great to hear your fundamental objections of principle to profanity filtering, I’m not specifically looking for them here. I know profanity filtering can’t pick up every hurtful thing being said. I know swearing, in the grand scheme of things, isn’t a particularly big issue. I know you need some human input to deal with issues of content. I’d just like to find a good library, and see what use I can make of it.)
回答1:
I didn't found any Python profanity library, so I made one myself.
Parameters
filterlist
A list of regular expressions that match a forbidden word. Please do not use \b, it will be inserted depending on inside_words.
Example:
['bad', 'un\w+']
ignore_case
Default: True
Self-explanatory.
replacements
Default: "$@%-?!"
A string with characters from which the replacements strings will be randomly generated.
Examples: "%&$?!" or "-" etc.
complete
Default: True
Controls if the entire string will be replaced or if the first and last chars will be kept.
inside_words
Default: False
Controls if words are searched inside other words too. Disabling this
Module source
(examples at the end)
"""
Module that provides a class that filters profanities
"""
__author__ = "leoluk"
__version__ = '0.0.1'
import random
import re
class ProfanitiesFilter(object):
def __init__(self, filterlist, ignore_case=True, replacements="$@%-?!",
complete=True, inside_words=False):
"""
Inits the profanity filter.
filterlist -- a list of regular expressions that
matches words that are forbidden
ignore_case -- ignore capitalization
replacements -- string with characters to replace the forbidden word
complete -- completely remove the word or keep the first and last char?
inside_words -- search inside other words?
"""
self.badwords = filterlist
self.ignore_case = ignore_case
self.replacements = replacements
self.complete = complete
self.inside_words = inside_words
def _make_clean_word(self, length):
"""
Generates a random replacement string of a given length
using the chars in self.replacements.
"""
return ''.join([random.choice(self.replacements) for i in
range(length)])
def __replacer(self, match):
value = match.group()
if self.complete:
return self._make_clean_word(len(value))
else:
return value[0]+self._make_clean_word(len(value)-2)+value[-1]
def clean(self, text):
"""Cleans a string from profanity."""
regexp_insidewords = {
True: r'(%s)',
False: r'\b(%s)\b',
}
regexp = (regexp_insidewords[self.inside_words] %
'|'.join(self.badwords))
r = re.compile(regexp, re.IGNORECASE if self.ignore_case else 0)
return r.sub(self.__replacer, text)
if __name__ == '__main__':
f = ProfanitiesFilter(['bad', 'un\w+'], replacements="-")
example = "I am doing bad ungood badlike things."
print f.clean(example)
# Returns "I am doing --- ------ badlike things."
f.inside_words = True
print f.clean(example)
# Returns "I am doing --- ------ ---like things."
f.complete = False
print f.clean(example)
# Returns "I am doing b-d u----d b-dlike things."
回答2:
arrBad = [
'2g1c',
'2 girls 1 cup',
'acrotomophilia',
'anal',
'anilingus',
'anus',
'arsehole',
'ass',
'asshole',
'assmunch',
'auto erotic',
'autoerotic',
'babeland',
'baby batter',
'ball gag',
'ball gravy',
'ball kicking',
'ball licking',
'ball sack',
'ball sucking',
'bangbros',
'bareback',
'barely legal',
'barenaked',
'bastardo',
'bastinado',
'bbw',
'bdsm',
'beaver cleaver',
'beaver lips',
'bestiality',
'bi curious',
'big black',
'big breasts',
'big knockers',
'big tits',
'bimbos',
'birdlock',
'bitch',
'black cock',
'blonde action',
'blonde on blonde action',
'blow j',
'blow your l',
'blue waffle',
'blumpkin',
'bollocks',
'bondage',
'boner',
'boob',
'boobs',
'booty call',
'brown showers',
'brunette action',
'bukkake',
'bulldyke',
'bullet vibe',
'bung hole',
'bunghole',
'busty',
'butt',
'buttcheeks',
'butthole',
'camel toe',
'camgirl',
'camslut',
'camwhore',
'carpet muncher',
'carpetmuncher',
'chocolate rosebuds',
'circlejerk',
'cleveland steamer',
'clit',
'clitoris',
'clover clamps',
'clusterfuck',
'cock',
'cocks',
'coprolagnia',
'coprophilia',
'cornhole',
'cum',
'cumming',
'cunnilingus',
'cunt',
'darkie',
'date rape',
'daterape',
'deep throat',
'deepthroat',
'dick',
'dildo',
'dirty pillows',
'dirty sanchez',
'dog style',
'doggie style',
'doggiestyle',
'doggy style',
'doggystyle',
'dolcett',
'domination',
'dominatrix',
'dommes',
'donkey punch',
'double dong',
'double penetration',
'dp action',
'eat my ass',
'ecchi',
'ejaculation',
'erotic',
'erotism',
'escort',
'ethical slut',
'eunuch',
'faggot',
'fecal',
'felch',
'fellatio',
'feltch',
'female squirting',
'femdom',
'figging',
'fingering',
'fisting',
'foot fetish',
'footjob',
'frotting',
'fuck',
'fucking',
'fuck buttons',
'fudge packer',
'fudgepacker',
'futanari',
'g-spot',
'gang bang',
'gay sex',
'genitals',
'giant cock',
'girl on',
'girl on top',
'girls gone wild',
'goatcx',
'goatse',
'gokkun',
'golden shower',
'goo girl',
'goodpoop',
'goregasm',
'grope',
'group sex',
'guro',
'hand job',
'handjob',
'hard core',
'hardcore',
'hentai',
'homoerotic',
'honkey',
'hooker',
'hot chick',
'how to kill',
'how to murder',
'huge fat',
'humping',
'incest',
'intercourse',
'jack off',
'jail bait',
'jailbait',
'jerk off',
'jigaboo',
'jiggaboo',
'jiggerboo',
'jizz',
'juggs',
'kike',
'kinbaku',
'kinkster',
'kinky',
'knobbing',
'leather restraint',
'leather straight jacket',
'lemon party',
'lolita',
'lovemaking',
'make me come',
'male squirting',
'masturbate',
'menage a trois',
'milf',
'missionary position',
'motherfucker',
'mound of venus',
'mr hands',
'muff diver',
'muffdiving',
'nambla',
'nawashi',
'negro',
'neonazi',
'nig nog',
'nigga',
'nigger',
'nimphomania',
'nipple',
'nipples',
'nsfw images',
'nude',
'nudity',
'nympho',
'nymphomania',
'octopussy',
'omorashi',
'one cup two girls',
'one guy one jar',
'orgasm',
'orgy',
'paedophile',
'panties',
'panty',
'pedobear',
'pedophile',
'pegging',
'penis',
'phone sex',
'piece of shit',
'piss pig',
'pissing',
'pisspig',
'playboy',
'pleasure chest',
'pole smoker',
'ponyplay',
'poof',
'poop chute',
'poopchute',
'porn',
'porno',
'pornography',
'prince albert piercing',
'pthc',
'pubes',
'pussy',
'queaf',
'raghead',
'raging boner',
'rape',
'raping',
'rapist',
'rectum',
'reverse cowgirl',
'rimjob',
'rimming',
'rosy palm',
'rosy palm and her 5 sisters',
'rusty trombone',
's&m',
'sadism',
'scat',
'schlong',
'scissoring',
'semen',
'sex',
'sexo',
'sexy',
'shaved beaver',
'shaved pussy',
'shemale',
'shibari',
'shit',
'shota',
'shrimping',
'slanteye',
'slut',
'smut',
'snatch',
'snowballing',
'sodomize',
'sodomy',
'spic',
'spooge',
'spread legs',
'strap on',
'strapon',
'strappado',
'strip club',
'style doggy',
'suck',
'sucks',
'suicide girls',
'sultry women',
'swastika',
'swinger',
'tainted love',
'taste my',
'tea bagging',
'threesome',
'throating',
'tied up',
'tight white',
'tit',
'tits',
'titties',
'titty',
'tongue in a',
'topless',
'tosser',
'towelhead',
'tranny',
'tribadism',
'tub girl',
'tubgirl',
'tushy',
'twat',
'twink',
'twinkie',
'two girls one cup',
'undressing',
'upskirt',
'urethra play',
'urophilia',
'vagina',
'venus mound',
'vibrator',
'violet blue',
'violet wand',
'vorarephilia',
'voyeur',
'vulva',
'wank',
'wet dream',
'wetback',
'white power',
'women rapping',
'wrapping men',
'wrinkled starfish',
'xx',
'xxx',
'yaoi',
'yellow showers',
'yiffy',
'zoophilia']
def profanityFilter(text):
brokenStr1 = text.split()
badWordMask = '!@#$%!@#$%^~!@%^~@#$%!@#$%^~!'
new = ''
for word in brokenStr1:
if word in arrBad:
print word + ' <--Bad word!'
text = text.replace(word,badWordMask[:len(word)])
#print new
return text
print profanityFilter("this thing sucks sucks sucks fucking stuff")
You can add or remove from the bad words list,arrBad, as you please.
回答3:
WebPurify is a Profanity Filter Library for Python
回答4:
You could probably combine http://spambayes.sourceforge.net/ and http://www.cs.cmu.edu/~biglou/resources/bad-words.txt.
回答5:
Profanity? What the f***'s that? ;-)
It will still take a couple of years before a computer will really be able to recognize swearing and cursing and it is my sincere hope that people will have understood by then that profanity is human and not "dangerous."
Instead of a dumb filter, have a smart human moderator who can balance the tone of discussion as appropriate. A moderator who can detect abuse like:
"If you were my husband, I'd poison your tea." - "If you were my wife, I'd drink it."
(that was from Winston Churchill, btw.)
回答6:
It's possible for users to work around this, of course, but it should do a fairly thorough job of removing profanity:
import re
def remove_profanity(s):
def repl(word):
m = re.match(r"(\w+)(.*)", word)
if not m:
return word
word = "Bork" if m.group(1)[0].isupper() else "bork"
word += m.group(2)
return word
return " ".join([repl(w) for w in s.split(" ")])
print remove_profanity("You just come along with me and have a good time. The Galaxy's a fun place. You'll need to have this fish in your ear.")
来源：https://stackoverflow.com/questions/3531746/what-s-a-good-python-profanity-filter-library