Social media framework for business blog mining

Flora S. Tsai

International Journal of Business and Systems Research, 2012, vol. 6, issue 3, 336-360

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. (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=47930 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbsre:v:6:y:2012:i:3:p:336-360

Access Statistics for this article

More articles in International Journal of Business and Systems Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().