Approaches for blog mining and its effectiveness – A Systematic Review

Shubham Singh

University of Toledo

Shubham Singh is a PhD Candidate, Manufacturing and Technology Management, University of Toledo. He earned an MBA degree from Ball State University in Management Information Systems and Professional Selling and B.S. in Electronics and Communication Engineering from Thapar University, India. His current research interests include big data analytics, social media, technology management, supply chain analytics and text analytics. He is the corresponding author and can be reached at Shubham.Singh@Utoledo.edu

Abstract

Blogs have become a useful tool to share information, opinion several weblogs have been written by bloggers worldwide. There have been not only personal blogs but also corporate blogs. Blogs provide opportunities to customers... [ view full abstract ]

Authors

  1. Shubham Singh (University of Toledo)
  2. Sushil Sharma (Ball State University)

Topic Area

Topics: Topic #1

Session

BD-1 » Big Data & Data Mining (13:30 - Friday, 13th April, Grand Central D)

Paper

MWDSI_Abstract_Data_Mining_Singh_and_Sharma.pdf

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