Social Big Data: An Overview and Applications

Bilal Abu-Salih (), Pornpit Wongthongtham (), Dengya Zhu (), Kit Yan Chan () and Amit Rudra ()
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Bilal Abu-Salih: The University of Jordan
Pornpit Wongthongtham: The University of Western Australia
Dengya Zhu: Curtin University
Kit Yan Chan: Curtin University
Amit Rudra: Curtin University

Chapter Chapter 1 in Social Big Data Analytics, 2021, pp 1-14 from Springer

Abstract: Abstract The emergence of online social media services has made a qualitative leap and brought profound changes to various aspects of human, cultural, intellectual, and social life. These significant Big data tributaries have further transformed the businesses processes by establishing convergent and transparent dialogues between businesses and their customers. Therefore, analysing the flow of social data content is necessary in order to enhance business practices, to augment brand awareness, to develop insights on target markets, to detect and identify positive and negative customer sentiments, etc., thereby achieving the hoped-for added value. This chapter presents an overview of the Social Big Data term and definition. This chapter also lays the foundation for several applications and analytics that are broadly discussed in this book.

Keywords: Social Big Data; Social credibility; Domain knowledge; Sentiment analysis; Affective design; Predictive analytics (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/978-981-33-6652-7_1

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