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Big Data Analytics in Social Media: An Overview

Big Data Analytics in Social Media: An Overview
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Author(s): Janani Balakumar (Bharathiar University, India)and Vijayarani Mohan (Bharathiar University, India)
Copyright: 2019
Pages: 18
Source title: Machine Learning Techniques for Improved Business Analytics
Source Author(s)/Editor(s): Dileep Kumar G. (Adama Science and Technology University, Ethiopia)
DOI: 10.4018/978-1-5225-3534-8.ch006

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Abstract

The rapid development of online social media is the method of collaboratively produced content material presents new possibilities and challenges to both producers and patrons of knowledge. The term big data refers to large-scale information control and evaluation technologies that exceed the functionality of conventional data processing techniques. In the current scenario, social media has gained amazing attention within the last decade. Accessing social media platforms and websites such as Facebook, Twitter, YouTube, LinkedIn, Instagram, and Google+, web technologies have become more responsible. People are becoming more fascinated about and relying on social media platform for records, news, and opinion of other customers on diverse topics. Hence, these situations produce a large volume of data. The main objective of this chapter is to provide knowledge about big data analytics in social media. A brief overview of big data and social media are discussed. Research challenges in social media are also discussed.

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