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Update README.md

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  license: apache-2.0
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  tags:
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  - ESG
 
 
 
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  ---
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  ## Main information
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  We introduce the model for multilabel ESG risks classification. There is 47 classes methodology with granularial risk definition.
@@ -80,7 +83,7 @@ tagger = Classifier.load('ner-ontonotes-large')
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  tag_list = ['FAC','LOC','ORG','PERSON']
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  texts_with_masks = []
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  for example_sent in texts:
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-
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  word_tokens = word_tokenize(example_sent)
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  # converts the words in word_tokens to lower case and then checks whether
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  #they are present in stop_words or not
 
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  license: apache-2.0
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  tags:
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  - ESG
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+ - finance
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+ language:
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+ - en
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  ---
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  ## Main information
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  We introduce the model for multilabel ESG risks classification. There is 47 classes methodology with granularial risk definition.
 
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  tag_list = ['FAC','LOC','ORG','PERSON']
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  texts_with_masks = []
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  for example_sent in texts:
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+ filtered_sentence = []
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  word_tokens = word_tokenize(example_sent)
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  # converts the words in word_tokens to lower case and then checks whether
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  #they are present in stop_words or not