Multimodal sentiment analysis for social media contents during public emergencies

Autor:	Fan Tao, Wang Hao, Wu Peng, Ling Chen, Ahvanooey Milad Taleby
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	public emergency multimodal sentiment analysis social platform textual sentiment analysis visual sentiment analysis Information technology T58.5-58.64 Electronic computers. Computer science QA75.5-76.95
Zdroj:	Journal of Data and Information Science, Vol 8, Iss 3, Pp 61-87 (2023)
Druh dokumentu:	article
ISSN:	2543-683X
DOI:	10.2478/jdis-2023-0012
Popis:	Nowadays, public opinions during public emergencies involve not only textual contents but also contain images. However, the existing works mainly focus on textual contents and they do not provide a satisfactory accuracy of sentiment analysis, lacking the combination of multimodal contents. In this paper, we propose to combine texts and images generated in the social media to perform sentiment analysis.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/0d6a42c08f6548aaa61d19f9757072dc Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
Nepřihlášeným uživatelům se plný text nezobrazuje	K zobrazení výsledku je třeba se přihlásit.