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pyTextcleanner

Available methods:

 1) remove_html_tags:
         Input - tweets
         Output - Filtered tweets by removing html tags.
     
 2)remove_stopwords:
         Input - tweets
         Output - Filtered tweets by removing stopwords
  
 3)filter_pattern:
         Input - tweets, pattern, replacer
         Output - Filtered tweets by removing same pattern of text
            
 4)remove_puctuations:
         Input - tweets
         Output - Filtered tweets by removing stopwords
         
 5) lemmetize:
         Input - tweets
         Output - tweets with lemmetizing words
     
 6) clean_tweet:
         Input - dataset
         Output: tweets with cleaned data
         
 7) calculate_tf_idf:
         Input - cleaned_tweets
         output - tweets with calulating tf-idf
      
 8) get_sentiment:
         Input - tweet
         Output: tweets with sentiment score

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