Multimodal Sentiment Analysis

Author:

Kaur Ramandeep1ORCID,Kautish Sandeep1

Affiliation:

1. Guru Kashi University, Talwandi Sabo, India

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.

Publisher

IGI Global

Subject

Multidisciplinary,General Engineering,General Business, Management and Accounting,General Computer Science

Cited by 37 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Online teaching emotion analysis based on GRU and nonlinear transformer algorithm;PeerJ Computer Science;2023-11-21

2. Few-shot Multimodal Sentiment Analysis Based on Multimodal Probabilistic Fusion Prompts;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

3. Multiple Contrastive Learning for Multimodal Sentiment Analysis;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

4. Dynamic Multimodal Fusion;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06

5. Interpretable Multimodal Sentiment Classification Using Deep Multi-View Attentive Network of Image and Text Data;IEEE Access;2023

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