arshjat

with open (f, "r+") as myfile:
     s=myfile.read()
     ret = re.sub(';',' ', s)
     ret = re.sub(',1\n',';1\n', s)
     ret = re.sub(',0\n',';0\n', s)
     myfile.write(ret)

arshjat

import os
import gc
import csv
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
from nltk import TweetTokenizer
from nltk.corpus import stopwords
from sklearn.feature_extraction.text import TfidfVectorizer
from keras.preprocessing.text import Tokenizer
from keras.preprocessing.sequence import pad_sequences