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The Stakes of Social Media: Analyzing User Sentiments
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Author(s): Elodie A. Attié (Capgemini Engineering T.E.C., France), Anne Bouvet (Capgemini Engineering T.E.C., France)and Jérôme Guibert (Capgemini Engineering T.E.C., France)
Copyright: 2022
Pages: 27
Source title:
Data Mining Approaches for Big Data and Sentiment Analysis in Social Media
Source Author(s)/Editor(s): Brij B. Gupta (National Institute of Technology, Kurukshetra, India), Dragan Peraković (University of Zagreb, Croatia), Ahmed A. Abd El-Latif (Menoufia University, Egypt & Prince Sultan University, Saudi Arabia)and Deepak Gupta (LoginRadius Inc., Canada)
DOI: 10.4018/978-1-7998-8413-2.ch009
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Abstract
The COVID-19 context affected the use of social media. Video and voice chat facilitate social interactions during the current social distancing requirements. However, social media creates unrealistic reference points of comparison. The time spent on social media can thus diminish well-being. Researchers and managers aspire to understand how sentiments can control social media. Another research interest regards which techniques create positive sentiments and enhance user experience. This chapter introduces the main stakes of social media, how sentiments change social media, and in turn, social media influences sentiments. The main focus presents a literature review regarding the techniques to analyze sentiments. Finally, solutions and recommendations contemplate the use of social media, for both users and social media platforms.
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