Sentiment analysis datasets: a review of trends, challenges, and future opportunities

Sentiment Analysis (SA) is a core area within Natural Language Processing (NLP) that focuses on computationally identifying and interpreting subjective information. The performance and generalizability of SA models are closely linked to the characteristics and quality of the datasets used for traini...

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Podrobná bibliografie

Hlavní autoři:	Md. Asif Khan, Sonia Khan Papia, K. M. Yaqub Ali, Hafiz Aziz Khan, Mizanur Rahman, Md. Nahidul Islam
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	PeerJ Inc. 2026-06-01
Edice:	PeerJ Computer Science
Témata:	Sentiment analysis Natural language processing Sentiment datasets Multilingual Annotation standards Multimodal sentiment analysis
On-line přístup:	https://peerj.com/articles/cs-3806.pdf
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!