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...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Grigori Sidorov, Fazlourrahman Balouchzahi, Sabur Butt, Alexander Gelbukh
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2023-03-01
Edice:	Applied Sciences
Témata:	regret detection hope speech detection transformers text classification contextual embedding
On-line přístup:	https://www.mdpi.com/2076-3417/13/6/3983
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!