Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/10192
Title: Social Media Analytics for Business Decision Making
Authors: Tyagi, Ajay
Srivastava, Devbrat
Verma, Ruchi [Guided by]
Keywords: Social media
Decision making
Logistic regression
K- nearest neighbor
Issue Date: 2023
Publisher: Jaypee University of Information Technology, Solan, H.P.
Abstract: This essay discusses social media's growth, user demographics, and advantages. Many social media platforms are now being used efficiently, and the data from these platforms also aids in revealing hidden facts through analysis. In social computational science, which aids people in decision-making, data analysis is crucial. Big data analytics on social media is often known as social media data analytics or just social media analytics, and it offers analysts great opportunity to come up with original concepts and recognize new patterns. The many forms of social media analysis, as well as the widely used technologies for social media analytics, are also covered in this study. Also mentioned are the numerous research difficulties associated with studying social media.
Description: Enrollment No. 191525, 191540
URI: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/10192
Appears in Collections:B.Tech. Project Reports

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