Publication:
An Overview of Multimodal Sentiment Analysis Research: Opportunities and Difficulties

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dc.ConferencecodeIEEE, IEEE Bangladesh Sect, IEEE CS TC Pattern Anal & Machine Intelligence, IEEE SMC TC Med Informat, IEEE SMC TC Visual Analyt & Commun, Int Assoc Pattern Recognit, Inst Ind Applicat Engineers, Univ Dhaka, IEEE Student Branch, DU, IEEE Women Engn Affin Grp, Ctr Nat Sci & Engn Res
dc.ConferencedateFEB 13-14, 2017
dc.ConferencelocationUniv Dhaka, Dhaka, BANGLADESH
dc.ConferencenameIEEE International Conference on Imaging, Vision & Pattern Recognition (icIVPR)
dc.contributor.authorUllah, MAen_US
dc.contributor.authorIslam, MMen_US
dc.contributor.authorAzman, NBen_US
dc.contributor.authorZaki, ZMen_US
dc.date.accessioned2024-05-29T02:58:20Z
dc.date.available2024-05-29T02:58:20Z
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 pro per 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 been 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.
dc.identifier.scopusWOS:000403391000005
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/11687
dc.languageEnglish
dc.language.isoen_US
dc.publisherIEEEen_US
dc.relation.ispartof2017 Ieee International Conference On Imaging, Vision & Pattern Recognition (Icivpr)
dc.sourceWeb Of Science (ISI)
dc.subjectMultimodalen_US
dc.subjectSentimentsen_US
dc.subjectOpportunitiesen_US
dc.subjectDifficultiesen_US
dc.subjectReviewen_US
dc.titleAn Overview of Multimodal Sentiment Analysis Research: Opportunities and Difficulties
dc.typeProceedings Paperen_US
dspace.entity.typePublication

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