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  `FinBERT` is a BERT model pre-trained on financial communication text. The purpose is to enhance financial NLP research and practice. It is trained on the following three financial communication corpus. The total corpora size is 4.9B tokens.
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  - Corporate Reports 10-K & 10-Q: 2.5B tokens
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  - Earnings Call Transcripts: 1.3B tokens
 
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+ ---
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+ language: "en"
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+ tags:
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+ - financial-sentiment-analysis
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+ - sentiment-analysis
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+ widget:
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+ - text: "Stocks rallied and the British pound gained."
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+ ---
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  `FinBERT` is a BERT model pre-trained on financial communication text. The purpose is to enhance financial NLP research and practice. It is trained on the following three financial communication corpus. The total corpora size is 4.9B tokens.
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  - Corporate Reports 10-K & 10-Q: 2.5B tokens
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  - Earnings Call Transcripts: 1.3B tokens