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Multimodal Sentiment Analysis: A Survey and Comparison

Multimodal Sentiment Analysis: A Survey and Comparison

Ramandeep Kaur, Sandeep Kautish
Copyright: © 2019 |Volume: 10 |Issue: 2 |Pages: 21
ISSN: 1947-959X|EISSN: 1947-9603|EISBN13: 9781522565833|DOI: 10.4018/IJSSMET.2019040103
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MLA

Kaur, Ramandeep, and Sandeep Kautish. "Multimodal Sentiment Analysis: A Survey and Comparison." IJSSMET vol.10, no.2 2019: pp.38-58. http://doi.org/10.4018/IJSSMET.2019040103

APA

Kaur, R. & Kautish, S. (2019). Multimodal Sentiment Analysis: A Survey and Comparison. International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), 10(2), 38-58. http://doi.org/10.4018/IJSSMET.2019040103

Chicago

Kaur, Ramandeep, and Sandeep Kautish. "Multimodal Sentiment Analysis: A Survey and Comparison," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) 10, no.2: 38-58. http://doi.org/10.4018/IJSSMET.2019040103

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Abstract

Multimodal sentiments have become the challenge for the researchers and are equally sophisticated for an appliance to understand. One of the studies that support MS problems is a MSA, which is the training of emotions, attitude, and opinion from the audiovisual format. This survey article covers the comprehensive overview of the last update in this field. Many recently proposed algorithms and various MSA applications are presented briefly in this survey. The article is categorized according to their contributions in the various MSA techniques. The main purpose of this survey is to provide a full image of the MSA opportunities and difficulties and related field with brief details. The main contribution of this article includes the sophisticated categorizations of a large number of recent articles and the illustration of the recent trend of research in the MSA and its related areas.

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