State of the Art of Deep Learning Applications in Sentiment Analysis: Psychological Behavior Prediction

Titre	State of the Art of Deep Learning Applications in Sentiment Analysis: Psychological Behavior Prediction
Publication Type	Journal Article
Year of Publication	2020
Authors	Maryame, N, Najima, D, Hasnae, R, Rachida, A
Journal	Advances in Intelligent Systems and Computing
Volume	1076
Pagination	441-451
Mots-clés	Behavior prediction, Behavioral research, Deep learning, Embedded systems, Internet users, Learning techniques, Sentiment analysis, Sharp increase, social media, State of the art, Web 2.0
Abstract	With the explosion of web 2.0, we are witnessing a sharp increase in Internet users such as a vertiginous evolution of social media. These media constitute a source of rich and varied information for researchers in sentiment analyses. This paper describes a tool for sifting through and synthesizing reviews by identifying the main deep learning techniques applied for sentiment analysis especially when it comes to psychological behavior prediction. © Springer Nature Singapore Pte Ltd. 2020.
URL	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085169691&doi=10.1007%2f978-981-15-0947-6_42&partnerID=40&md5=dcac33ec68694f08b6258ea4a477f755
DOI	10.1007/978-981-15-0947-6_42