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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.
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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
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