parser.py
def clean_tweet(self, tweet_text):
		"""
		Taking a raw tweet, return a cleaned list of tweets tokens
		:param tweet_text:
		:return: array of tokens words
		"""

		tweet = preprocessor.clean(tweet_text)
		tokens = [word[1:] if word.startswith('#') else word for word in tweet.split(' ')]

		tokens = self.replace_abbreviations(tokens)
		tokens = self.remove_stopwords_spelling_mistakes(tokens)
		tokens = gensim.utils.simple_preprocess(' '.join(tokens))

		return tokens

		Taking a raw tweet, return a cleaned list of tweets tokens
		:param tweet_text:
		:return: array of tokens words
		
Taking a raw tweet, return a cleaned list of tweets tokens
Taking a raw tweet return a cleaned list of tweets tokens
def clean_tweet(self, tweet_text):
		tweet = preprocessor.clean(tweet_text)
		tokens = [word[1:] if word.startswith('#') else word for word in tweet.split(' ')]
		tokens = self.replace_abbreviations(tokens)
		tokens = self.remove_stopwords_spelling_mistakes(tokens)
		tokens = gensim.utils.simple_preprocess(' '.join(tokens))
		return tokens
def clean_tweet ( self , tweet_text ) : tweet = preprocessor . clean ( tweet_text ) tokens = [ word [ 1 : ] if word . startswith ( '#' ) else word for word in tweet . split ( ' ' ) ] tokens = self . replace_abbreviations ( tokens ) tokens = self . remove_stopwords_spelling_mistakes ( tokens ) tokens = gensim . utils . simple_preprocess ( ' ' . join ( tokens ) ) return tokens
Taking a raw tweet, return a cleaned list of tweets tokens
Taking a raw tweet return a cleaned list of tweets tokens
"""
		Taking a raw tweet, return a cleaned list of tweets tokens
		:param tweet_text:
		:return: array of tokens words
		"""
array of tokens words
array of tokens words
self
tweet_text
None