Systematic literature review on context-based sentiment analysis in social multimedia
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Systematic literature review on context-based sentiment analysis in social multimedia Akshi Kumar 1 & Geetanjali Garg 1 Received: 23 November 2018 / Revised: 17 January 2019 / Accepted: 5 February 2019 # Springer Science+Business Media, LLC, part of Springer Nature 2019
Abstract The opinion seeking behavior of people for good decision making has greatly enhanced the importance of social media as a platform for exchange of information. This trend has led to a sudden spurt of information overflow on the Web. The huge volume of such information has to be technically processed for segregating the relevant knowledge. Sentiment analysis is the popular method extensively used for this purpose. It is defined as the computational study of mining the opinions from the available content about the entity of interest. Existing Sentiment analysis techniques quite efficiently capture opinions from text written in syntactically correct and explicit language. However, while dealing with the informal data, limitation has been observed in performance of sentiment analysis techniques. With a view to deal with the imperfect and indirect language used by the netizens, it has become necessary to work on improvement in the existing sentiment analysis techniques. In this regard, the conventional sentiment analysis techniques have shown some improvement on applying the appropriate context information. However, still there is ample scope for further research to find the relevant “context” and applying it to a given scenario. This systematic literature review paper intends to explore and analyze the existing work on the context-based sentiment analysis and to report gaps and future directions in the said research area. Keywords Context . Sentiment analysis . Social multimedia . Systematic literature review
1 Introduction With the advent of Web 2.0, usage of social media to gather opinions has taken a steep rise. The users across social media have contributed a lot in generating huge volume of voluntarily
* Geetanjali Garg [email protected] Akshi Kumar [email protected]
1
Department of Computer Science & Engineering, Delhi Technological University, New Delhi, India
Multimedia Tools and Applications
disclosed information. The opinion seekers find this available information quite convenient and attractive. Such information is being used for their specific purpose be it business, social, educational or entertainment. However, the main difficulty lies in the analysis of such information for relating the same to the intended objective of the user. The key to meet such requirement lies in sentiment analysis. Sentiment analysis is a process of systematic computational analysis of opinions, sentiments and emotions expressed in the text [29]. Such analysis is designed to detect the subjective information contained in the text and to discern the conviction of the author on an issue or the full text. The term subjectivity is a keyword in the whole process of sentiment analysis (SA). It is described as the linguistic expression of somebody‘s o
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