def update_terms_stats(terms_fd, json_tweet, lex):
tweet = utils.extract_tweet_from_json(json_tweet)
tweet_terms = []
if tweet is None:
return False
tokenizer = nltk.RegexpTokenizer('\#?[\w\d]+')
doc = tokenizer.tokenize(tweet)
for w_raw in doc:
w = w_raw.strip('\"\'.,;?!:)(@/*&')
if not (w.strip('#')).isalpha():
w_aux = ''
#ignore non-ascii characters
for s in w:
if ord(s) < 128:
w_aux += s
else:
break
w = w_aux
w = w.lower()
if (w not in stopwords.words('english')
and w not in set(['rt', 'http', 'amp'])) and len(w) in range(
3, 16):
if w in lex:
continue
tweet_terms.append(w)
terms_fd.inc(w)
bigrams = nltk.bigrams(tweet_terms)
for b in bigrams:
if b[1] + " " + b[0] in lex or b[0] + " " + b[1] in lex:
continue
if b[1] + " " + b[0] in terms_fd:
terms_fd.inc(b[1] + " " + b[0])
else:
terms_fd.inc(b[0] + " " + b[1])
return True
def update_terms_stats(terms_fd, json_tweet, lex):
tweet = utils.extract_tweet_from_json(json_tweet)
tweet_terms = []
if tweet is None:
return False
tokenizer = nltk.RegexpTokenizer("\#?[\w\d]+")
doc = tokenizer.tokenize(tweet)
for w_raw in doc:
w = w_raw.strip("\"'.,;?!:)(@/*&")
if not (w.strip("#")).isalpha():
w_aux = ""
# ignore non-ascii characters
for s in w:
if ord(s) < 128:
w_aux += s
else:
break
w = w_aux
w = w.lower()
if (w not in stopwords.words("english") and w not in set(["rt", "http", "amp"])) and len(w) in range(3, 16):
if w in lex:
continue
tweet_terms.append(w)
terms_fd.inc(w)
bigrams = nltk.bigrams(tweet_terms)
for b in bigrams:
if b[1] + " " + b[0] in lex or b[0] + " " + b[1] in lex:
continue
if b[1] + " " + b[0] in terms_fd:
terms_fd.inc(b[1] + " " + b[0])
else:
terms_fd.inc(b[0] + " " + b[1])
return True
def update_hashtags_stats(hashtags_fd, json_tweet):
tweet = utils.extract_tweet_from_json(json_tweet)
tweet_terms = []
if tweet is None or '#' not in tweet:
return False
tokenizer = nltk.RegexpTokenizer('\#?[\w\d]+')
doc = tokenizer.tokenize(tweet)
for w_raw in doc:
if '#' not in w_raw:
continue
w = (w_raw.strip('\"\'.,;?!:)(@/*&')).lower()
tweet_terms.append(w)
hashtags_fd.inc(w)
return True
def update_hashtags_stats(hashtags_fd, json_tweet):
tweet = utils.extract_tweet_from_json(json_tweet)
tweet_terms = []
if tweet is None or "#" not in tweet:
return False
tokenizer = nltk.RegexpTokenizer("\#?[\w\d]+")
doc = tokenizer.tokenize(tweet)
for w_raw in doc:
if "#" not in w_raw:
continue
w = (w_raw.strip("\"'.,;?!:)(@/*&")).lower()
tweet_terms.append(w)
hashtags_fd.inc(w)
return True
