models/train_classifier.py
def synonym_tokenize(text):
    """
    Takes a text and return tokenize synonyms
    """
    t = Wordnet(v=True, n=True, p=0.7)
    return [t.augment(word) for word in tokenize(text)]

    Takes a text and return tokenize synonyms
    
Takes a text and return tokenize synonyms
Takes a text and return tokenize synonyms
def synonym_tokenize(text):
    t = Wordnet(v=True, n=True, p=0.7)
    return [t.augment(word) for word in tokenize(text)]
def synonym_tokenize ( text ) : t = Wordnet ( v = True , n = True , p = 0.7 ) return [ t . augment ( word ) for word in tokenize ( text ) ]
Takes a text and return tokenize synonyms
Takes a text and return tokenize synonyms
"""
    Takes a text and return tokenize synonyms
    """
text