def english_window(words, wsize=2):
words = filter(None, ( re.sub(r"[^A-Za-z0-9' -]", '', w) for w in words ))
for x in xrange(len(words) - wsize + 1):
pair = ' '.join(words[x:x+wsize])
caps = ''.join( w[0] for w in pair.split() )
norm = en_nl.normalize(pair)
if norm and ( ( '@' not in caps and caps.upper() == caps and pair.upper() != pair ) or norm in concepts ):
yield norm.lower()
def english_window(words, wsize=2):
words = filter(None, (re.sub(r"[^A-Za-z0-9' -]", '', w) for w in words))
for x in xrange(len(words) - wsize + 1):
pair = ' '.join(words[x:x + wsize])
caps = ''.join(w[0] for w in pair.split())
norm = en_nl.normalize(pair)
if norm and (('@' not in caps and caps.upper() == caps
and pair.upper() != pair) or norm in concepts):
yield norm.lower()
def clean_twitter(phrase):
phrase = re.sub(r'(.)\1{2,}', r'\1\1', re.sub(r'[^\x00-\x7f]', ' ', phrase))
if is_bad_word(phrase.lower()):
return
parts = en_nl.tokenize(phrase).split()
for part in itertools.chain(parts, english_window(parts)):
if part.startswith(('#', '@', 'http:')):
yield part
elif part.strip() and part != 'rt' and not en_nl.is_stopword(part):
part = en_nl.normalize(part).strip('-')
if part.strip():
yield part
def clean_twitter(phrase):
phrase = re.sub(r'(.)\1{2,}', r'\1\1', re.sub(r'[^\x00-\x7f]', ' ',
phrase))
if is_bad_word(phrase.lower()):
return
parts = en_nl.tokenize(phrase).split()
for part in itertools.chain(parts, english_window(parts)):
if part.startswith(('#', '@', 'http:')):
yield part
elif part.strip() and part != 'rt' and not en_nl.is_stopword(part):
part = en_nl.normalize(part).strip('-')
if part.strip():
yield part