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import numpy as np | |
import pandas as pd | |
import os | |
import gc | |
import re | |
from nltk.corpus import stopwords | |
from nltk.stem import PorterStemmer | |
from bs4 import BeautifulSoup | |
def preprocess(x): | |
x=str(x).lower() | |
x=x.replace(",000,000", "m").replace(",000", "k").replace("′", "'").replace("’", "'")\ | |
.replace("won't", "will not").replace("cannot", "can not").replace("can't", "can not")\ | |
.replace("n't", " not").replace("what's", "what is").replace("it's", "it is")\ | |
.replace("'ve", " have").replace("i'm", "i am").replace("'re", " are")\ | |
.replace("he's", "he is").replace("she's", "she is").replace("'s", " own")\ | |
.replace("%", " percent ").replace("₹", " rupee ").replace("$", " dollar ")\ | |
.replace("€", " euro ").replace("'ll", " will") | |
x = re.sub(r"([0-9]+)000000", r"lm", x) | |
x = re.sub(r"([0-9]+)000", r"lk", x) | |
porter=PorterStemmer() | |
pattern=re.compile('\W') | |
if type(x) == type(''): | |
x = re.sub(pattern, ' ', x) | |
if type(x) == type(''): | |
x = porter.stem(x) | |
example1 = BeautifulSoup(x, 'lxml') | |
x = example1.get_text() | |
return x |
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