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Regret and Hope on Transformers: An Analysis of Transformers on Regret and Hope Speech Detection Datasets

In this paper, we analyzed the performance of different transformer models for regret and hope speech detection on two novel datasets. For the regret detection task, we compared the averaged macro-scores of the transformer models to the previous state-of-the-art results. We found that the transforme...

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Autors principals: Grigori Sidorov, Fazlourrahman Balouchzahi, Sabur Butt, Alexander Gelbukh
Format: Artigo
Idioma:Inglês
Publicat: MDPI AG 2023-03-01
Col·lecció:Applied Sciences
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Accés en línia:https://www.mdpi.com/2076-3417/13/6/3983
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