Title: Social media framework for business blog mining

Authors: Flora S. Tsai

Addresses: Singapore University of Technology and Design, 20 Dover Drive, 138682, Singapore

Abstract: The explosive proliferation of blogs and new forms of social media requires new technologies to transfer the digital realm of the blogosphere into a manageable form. In this paper, we describe a social media data mining framework for business blog mining which evaluates the ability of blog-specific properties to improve classification results in our dataset of business blogs. We find that additional information contained in bloggers and links has a positive influence on our model; however, tags and time tend to have a negative influence. Our findings have implications for future work in blog mining which can leverage blog-specific properties as well as domain knowledge of blog data to improve search and retrieval performance.

Keywords: business blogs; blog mining; weblogs; bloggers; blogging; tags; social media; data mining.

DOI: 10.1504/IJBSR.2012.047930

International Journal of Business and Systems Research, 2012 Vol.6 No.3, pp.336 - 360

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 15 Jul 2012 *

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