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There is a rapid increase in the usage of social media in the most recent decade. Getting to social media platforms for example, Twitter, Facebook LinkedIn and Google+ via mediums like web and the web 2.0 has become the most convenient way for users. Individuals are turning out to be more inspired by and depending on such platforms for data, news and thoughts of different clients on various topics. The substantial dependence on these social platforms causes them to produce huge information described by three computational issues in particular; volume, velocity and dynamism. These issues frequently make informal organization information exceptionally complex to break down physically, bringing about the related utilization of computational method for dissecting them.
Hibatullah Alzahrani. 2016. "Social Media Analytics using Data Mining". Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 16 (GJCST Volume 16 Issue C4).
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
v1.2
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Total Score: 171
Country: United States
Subject: Global Journal of Computer Science and Technology
Authors: Hibatullah Alzahrani (PhD/Dr. count: 0)
View Count (all-time): 438
Total Views (Real + Logic): 2090
Total Downloads (simulated): 109
Publish Date: 2016 01, Fri
Monthly Totals (Real + Logic):
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