Visual Sentiment Analysis from Disaster Images in Social Media

The increasing popularity of social networks and users’ tendency towards sharing their feelings, expressions, and opinions in text, visual, and audio content have opened new opportunities and challenges in sentiment analysis. While sentiment analysis of text streams has been widely explored in the l...

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Detalles Bibliográficos
Autores principales: Hassan, Syed Zohaib, Ahmad, Kashif, Hicks, Steven, Halvorsen, Pål, Al-Fuqaha, Ala, Conci, Nicola, Riegler, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9146152/
https://www.ncbi.nlm.nih.gov/pubmed/35632034
http://dx.doi.org/10.3390/s22103628

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9146152/
https://www.ncbi.nlm.nih.gov/pubmed/35632034
http://dx.doi.org/10.3390/s22103628

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