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nlp02_contractions.py
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nlp02_contractions.py
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# 2.1 contractions using dictionary
def txt_contractions(df, col):
"""
txt_contractions expands contractions from a custom dictionary defined in the function
:param df: dataframe containing text to be transformed
:param col: column in dataframe containing text to be transformed
:return: returns the transformed dataframe
"""
cont_dict = {
"ain't": "is not",
"aint": "is not",
"aren't": "are not",
"arent": "are not",
"can't": "cannot",
"cant": "cannot",
"can't've": "cannot have",
"cant've": "cannot have",
"'cause": "because",
"could've": "could have",
"couldve": "could have",
"couldn't": "could not",
"couldnt": "could not",
"couldn't've": "could not have",
"couldnt've": "could not have",
"didn't": "did not",
"didnt": "did not",
"doesn't": "does not",
"doesnt": "does not",
"don't": "do not",
"dont": "do not",
"hadn't": "had not",
"hadnt": "had not",
"hadn't've": "had not have",
"hadnt've": "had not have",
"hasn't": "has not",
"hasnt": "has not",
"haven't": "have not",
"havent": "have not",
"he'd": "he would",
"he'd've": "he would have",
"he'll": "he will",
"he'll've": "he he will have",
"he's": "he is",
"how'd": "how did",
"howd": "how did",
"how'd'y": "how do you",
"how'll": "how will",
"how's": "how is",
"hows": "how is",
"I'd": "I would",
"Id": "I would",
"I'd've": "I would have",
"I'll": "I will",
"I'll've": "I will have",
"I'm": "I am",
"Im": "I am",
"I've": "I have",
"i'd": "i would",
"i'd've": "i would have",
"i'll": "i will",
"i'll've": "i will have",
"i'm": "i am",
"im": "i am",
"i've": "i have",
"isn't": "is not",
"isnt": "is not",
"it'd": "it would",
"it'd've": "it would have",
"it'll": "it will",
"it'll've": "it will have",
"it's": "it is",
"its": "it is",
"let's": "let us",
"lets": "let us",
"ma'am": "madam",
"mayn't": "may not",
"might've": "might have",
"mightve": "might have",
"mightn't": "might not",
"mightnt": "might not",
"mightn't've": "might not have",
"must've": "must have",
"mustve": "must have",
"mustn't": "must not",
"mustnt": "must not",
"mustn't've": "must not have",
"needn't": "need not",
"neednt": "need not",
"needn't've": "need not have",
"o'clock": "of the clock",
"oughtn't": "ought not",
"oughtnt": "ought not",
"oughtn't've": "ought not have",
"shan't": "shall not",
"shant": "shall not",
"sha'n't": "shall not",
"shan't've": "shall not have",
"she'd": "she would",
"she'd've": "she would have",
"she'll": "she will",
"she'll've": "she will have",
"she's": "she is",
"shes": "she is",
"should've": "should have",
"shouldve": "should have",
"shouldn't": "should not",
"shouldnt": "should not",
"shouldn't've": "should not have",
"so've": "so have",
"so's": "so as",
"that'd": "that would",
"thatd": "that would",
"that'd've": "that would have",
"that's": "that is",
"thats": "that is",
"there'd": "there would",
"thered": "there would",
"there'd've": "there would have",
"there's": "there is",
"theres": "there is",
"they'd": "they would",
"theyd": "they would",
"they'd've": "they would have",
"they'll": "they will",
"theyll": "they will",
"they'll've": "they will have",
"they're": "they are",
"theyre": "they are",
"they've": "they have",
"theyve": "they have",
"to've": "to have",
"wasn't": "was not",
"wasnt": "was not",
"we'd": "we would",
"we'd've": "we would have",
"we'll": "we will",
"we'll've": "we will have",
"we're": "we are",
"we've": "we have",
"weve": "we have",
"weren't": "were not",
"werent": "were not",
"what'll": "what will",
"whatll": "what will",
"what'll've": "what will have",
"what're": "what are",
"what's": "what is",
"whats": "what is",
"what've": "what have",
"whatve": "what have",
"when's": "when is",
"whens": "when is",
"when've": "when have",
"where'd": "where did",
"whered": "where did",
"where's": "where is",
"wheres": "where is",
"where've": "where have",
"who'll": "who will",
"wholl": "who will",
"who'll've": "who will have",
"who's": "who is",
"whos": "who is",
"who've": "who have",
"why's": "why is",
"whys": "why is",
"why've": "why have",
"will've": "will have",
"won't": "will not",
"wont": "will not",
"won't've": "will not have",
"wont've": "will not have",
"would've": "would have",
"wouldve": "would have",
"wouldn't": "would not",
"wouldnt": "would not",
"wouldn't've": "would not have",
"y'all": "you all",
"yall": "you all",
"y'all'd": "you all would",
"y'all'd've": "you all would have",
"y'all're": "you all are",
"y'all've": "you all have",
"you'd": "you would",
"youd": "you would",
"you'd've": "you would have",
"youd've": "you would have",
"you'll": "you will",
"youll": "you will",
"you'll've": "you will have",
"you're": "you are",
"youre": "you are",
"you've": "you have",
"youve": "you have",
}
df[col] = df[col].apply(
lambda x: " ".join(cont_dict[x] if x in cont_dict else x for x in x.split())
)
return df
# 2.2 expanding using contractions library
# https://www.geeksforgeeks.org/nlp-expand-contractions-in-text-processing/
# 2.3 expanding using pycontractions library
# https://pypi.org/project/pycontractions/