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A survey on sentiment analysis and opinion mining for social multimedia

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Abstract

Social media sentiment analysis (also known as opinion mining) which aims to extract people’s opinions, attitudes and emotions from social networks has become a research hotspot. Conventional sentiment analysis concentrates primarily on the textual content. However, multimedia sentiment analysis has begun to receive attention since visual content such as images and videos is becoming a new medium for self-expression in social networks. In order to provide a reference for the researchers in this active area, we give an overview of this topic and describe the algorithms of sentiment analysis and opinion mining for social multimedia. Having conducted a brief review on textual sentiment analysis for social media, we present a comprehensive survey of visual sentiment analysis on the basis of a thorough investigation of the existing literature. We further give a summary of existing studies on multimodal sentiment analysis which combines multiple media channels. We finally summarize the existing benchmark datasets in this area, and discuss the future research trends and potential directions for multimedia sentiment analysis. This survey covers 100 articles during 2008–2018 and categorizes existing studies according to the approaches they adopt.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China under Grant 61702462, 61702464 and 61461025, the Scientific and Technological Project of Henan Province under Grant 182102210607, and the Science and Technology Innovation Engineering Program for Shaanxi Provincial Key Laboratories under Grant 2013SZS15-K02.

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  1. School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450002, China

    Zuhe Li & Bin Jiang

  2. School of Electronics and Information, Northwestern Polytechnical University, Xi’an, 710072, China

    Yangyu Fan

  3. College of Electronical and Information Engineering, Shaanxi University of Science and Technology, Xi’an, 710021, China

    Tao Lei

  4. Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, 710119, China

    Weihua Liu

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  1. Zuhe Li
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Li, Z., Fan, Y., Jiang, B. et al. A survey on sentiment analysis and opinion mining for social multimedia. Multimed Tools Appl 78, 6939–6967 (2019). https://doi.org/10.1007/s11042-018-6445-z

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