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@@ -18,7 +18,7 @@ metrics:
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  - recall
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  - f1
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  widget:
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- - text: "to the moon πŸš€πŸš€πŸš€."
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  ---
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  # EmTract (DistilBERT-Base-Uncased)
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  ## Research
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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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  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)
 
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  - recall
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  - f1
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  widget:
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+ - text: "to the moon πŸš€πŸš€πŸš€"
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  ---
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  # EmTract (DistilBERT-Base-Uncased)
 
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  ## Research
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+ The underlying research for emotion extraction from financial social media can be found in: [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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+ Please cite the following if you use this model:
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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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+ BibTex citation:
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+
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+ ```
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+ @article{vamossy2023emtract,
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+ title={EmTract: Extracting Emotions from Social Media},
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+ author={Vamossy, Domonkos F and Skog, Rolf},
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+ journal={Available at SSRN 3975884},
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+ year={2023}
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+ }
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+ ```
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+
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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)