def tokenize(self, text):
"""Tokenize a chunk of text.
Pulled mostly verbatim from the SpamBayes code.
"""
maxword = 20
text = numeric_entity_re.sub(numeric_entity_replacer, text)
for cracker in (crack_urls,):
text, tokens = cracker(text)
for t in tokens:
yield t
text = breaking_entity_re.sub(' ', text)
text = html_re.sub('', text)
for w in text.split():
n = len(w)
if 3 <= n <= maxword:
yield w
elif n >= 3:
for t in tokenize_word(w):
yield t
def tokenize(self, text):
"""Tokenize a chunk of text.
Pulled mostly verbatim from the SpamBayes code.
"""
maxword = 20
# Replace numeric character entities (like a for the letter
# 'a').
text = numeric_entity_re.sub(numeric_entity_replacer, text)
# Crack open URLs and extract useful bits of marrow...
for cracker in (crack_urls,):
text, tokens = cracker(text)
for t in tokens:
yield t
# Remove HTML/XML tags. Also . <br> and <p> tags should
# create a space too.
text = breaking_entity_re.sub(' ', text)
# It's important to eliminate HTML tags rather than, e.g.,
# replace them with a blank (as this code used to do), else
# simple tricks like
# Wr<!$FS|i|R3$s80sA >inkle Reduc<!$FS|i|R3$s80sA >tion
# can be used to disguise words. <br> and <p> were special-
# cased just above (because browsers break text on those,
# they can't be used to hide words effectively).
text = html_re.sub('', text)
# Tokenize everything in the body.
for w in text.split():
n = len(w)
# Make sure this range matches in tokenize_word().
if 3 <= n <= maxword:
yield w
elif n >= 3:
for t in tokenize_word(w):
yield t
def tokenize(self, text):
"""Tokenize a chunk of text.
Pulled mostly verbatim from the SpamBayes code.
"""
maxword = 20
# Replace numeric character entities (like a for the letter
# 'a').
text = numeric_entity_re.sub(numeric_entity_replacer, text)
# Crack open URLs and extract useful bits of marrow...
for cracker in (crack_urls, ):
text, tokens = cracker(text)
for t in tokens:
yield t
# Remove HTML/XML tags. Also . <br> and <p> tags should
# create a space too.
text = breaking_entity_re.sub(' ', text)
# It's important to eliminate HTML tags rather than, e.g.,
# replace them with a blank (as this code used to do), else
# simple tricks like
# Wr<!$FS|i|R3$s80sA >inkle Reduc<!$FS|i|R3$s80sA >tion
# can be used to disguise words. <br> and <p> were special-
# cased just above (because browsers break text on those,
# they can't be used to hide words effectively).
text = html_re.sub('', text)
# Tokenize everything in the body.
for w in text.split():
n = len(w)
# Make sure this range matches in tokenize_word().
if 3 <= n <= maxword:
yield w
elif n >= 3:
for t in tokenize_word(w):
yield t