Publication: Multimodal sentiment analysis: A study towards future directions
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Date
2017
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Publisher
American Scientific Publishers
Abstract
The 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.
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Keywords
Categorization, Multimodal, Polarity, Sentiment Analysis, Summarization