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Multimodal sentiment analysis: A study towards future directions

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dc.contributor.affiliationsFaculty of Syariah and Law
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.affiliationsInternational Islamic University Chittagong
dc.contributor.authorUllah M.A.en_US
dc.contributor.authorAzman N.en_US
dc.contributor.authorIslam M.M.en_US
dc.contributor.authorZaki Z.M.en_US
dc.date.accessioned2024-05-28T08:40:49Z
dc.date.available2024-05-28T08:40:49Z
dc.date.issued2017
dc.description.abstractThe medium of user expressions on the Web, especially in social media such as Facebook and Twitter, have evolved from text to multimedia such as images, audio, and video. This multimodal form of expression has become an important information resource for different organizations and institutions in their decision-making and setting strategies. But, the scatter in multimodal sentiments of the users poses a demand for more analysis to derive useful data. This analysis is known as Multimodal Sentiment Analysis (MSA). This paper presents a comprehensive overview for future researchers on recent research of different modes; individually and together to find the gaps in terms of tasks, approaches theories and applications used. The study showed that each and every mode presents different problematic issues which have not been fully solved yet, such as feature points of a face, voice clarity in audio and so on, and are great research areas for future work. There seems to be no single approach, theory, and tool which can support MSA. Moreover, this paper categorizes and summarizes recent work on the basis of tasks, approaches, and theories. � 2017 American Scientific Publishers All rights reserved.
dc.description.natureFinalen_US
dc.identifier.doi10.1166/asl.2017.8979
dc.identifier.epage4976
dc.identifier.issn19366612
dc.identifier.issue5
dc.identifier.scopus2-s2.0-85023757700
dc.identifier.spage4973
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85023757700&doi=10.1166%2fasl.2017.8979&partnerID=40&md5=c2ed0cf5ccf99699a5c104a618c6fa21
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/9279
dc.identifier.volume23
dc.languageEnglish
dc.language.isoen_US
dc.publisherAmerican Scientific Publishersen_US
dc.relation.ispartofAdvanced Science Letters
dc.sourceScopus
dc.subjectCategorizationen_US
dc.subjectMultimodalen_US
dc.subjectPolarityen_US
dc.subjectSentiment Analysisen_US
dc.subjectSummarizationen_US
dc.titleMultimodal sentiment analysis: A study towards future directions
dc.typeArticleen_US
dspace.entity.typePublication

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