Publication:
An overview of Multimodal Sentiment Analysis research: Opportunities and Difficulties

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dc.Conferencecode127153
dc.Conferencedate42779
dc.Conferencename2017 IEEE International Conference on Imaging, Vision and Pattern Recognition, icIVPR 2017
dc.citedby2
dc.contributor.affiliationsFaculty of Science and Technology
dc.contributor.affiliationsInternational Islamic University Chittagong
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.authorUllah M.A.en_US
dc.contributor.authorIslam M.M.en_US
dc.contributor.authorAzman N.B.en_US
dc.contributor.authorZaki Z.M.en_US
dc.date.accessioned2024-05-28T08:33:32Z
dc.date.available2024-05-28T08:33:32Z
dc.date.issued2017
dc.description.abstractThe scatter form of multimedia data such as text, image, audio, and video posted regularly in the social media may contain useful information for the organizations. But, this information should be derived with the use of some form of analysis known as Multimodal Sentiment Analysis (MSA). But, there is a lack of proper analytic tools for such analysis. This paper presents a thorough overview of more than fifty most recent MSA research articles to find the gaps in terms of tasks, approaches theories and applications used till date. There seems to be no single approach, theory, and tool which can support MSA. The study showed that each and every mode presents different difficulties which have not bee n fully solved yet, such as feature points of a face, voice clarity in audio, video summarization and so on, and are great research opportunities for the future researchers. Also, this research recommends a list of existing and upcoming difficulties and opportunities of MSA research. � 2017 IEEE.
dc.description.natureFinalen_US
dc.description.sponsorshipIEEE
dc.description.sponsorshipIEEE Bangladesh Section
dc.description.sponsorshipIIA
dc.identifier.ArtNo7890858
dc.identifier.doi10.1109/ICIVPR.2017.7890858
dc.identifier.isbn9781510000000
dc.identifier.scopus2-s2.0-85018177784
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85018177784&doi=10.1109%2fICIVPR.2017.7890858&partnerID=40&md5=68fba02cac5696a1a67ea9a00e9dd40c
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/9061
dc.languageEnglish
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2017 IEEE International Conference on Imaging, Vision and Pattern Recognition, icIVPR 2017
dc.sourceScopus
dc.subjectDifficultiesen_US
dc.subjectMultimodalen_US
dc.subjectOpportunitiesen_US
dc.subjectReviewen_US
dc.subjectSentimentsen_US
dc.subjectData miningen_US
dc.subjectNatural language processing systemsen_US
dc.subjectPattern recognitionen_US
dc.subjectReviewsen_US
dc.subjectDifficultiesen_US
dc.subjectMulti-modalen_US
dc.subjectMultimedia dataen_US
dc.subjectOpportunitiesen_US
dc.subjectResearch opportunitiesen_US
dc.subjectSentiment analysisen_US
dc.subjectSentimentsen_US
dc.subjectVideo summarizationen_US
dc.subjectModal analysisen_US
dc.titleAn overview of Multimodal Sentiment Analysis research: Opportunities and Difficulties
dc.typeConference Paperen_US
dspace.entity.typePublication

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