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@@ -3,7 +3,11 @@ language:
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  - en
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  tags:
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  - text-classification
 
 
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  - emotion
 
 
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  - pytorch
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  license: mit
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  datasets:
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  The underlying research for emotion extraction from social media can be found in the paper [EmTract: Extracting Emotions from Social Media](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3975884).
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  ### Research using EmTract
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  [Social Media Emotions and IPO Returns](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4384573)
 
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  - en
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  tags:
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  - text-classification
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+ - nlp
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+ - distilbert
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  - emotion
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+ - twitter
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+ - stocktwits
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  - pytorch
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  license: mit
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  datasets:
 
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  The underlying research for emotion extraction from social media can be found in the paper [EmTract: Extracting Emotions from Social Media](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3975884).
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+ ### Citation
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+
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+ Vamossy, Domonkos F., and Rolf Skog. "EmTract: Extracting Emotions from Social Media." Available at SSRN 3975884 (2023).
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  ### Research using EmTract
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  [Social Media Emotions and IPO Returns](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4384573)