Organizing Information in the Blogosphere: The Use of Unsupervised Approach
Ramesh Kumar Ayyasamy
Dr. Ramesh Kumar Ayyasamy, Lecturer, School of Information Technology, Monash University, Malaysia.
Manuscript received on October 21, 2013. | Revised Manuscript received on November 01, 2013. | Manuscript published on November 05, 2013. | PP: 194-198 | Volume-3 Issue-5, November 2013. | Retrieval Number: E1966113513/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This study covers the learning approaches discussed by the information retrieval community in categorising texts with a specific focus given to blogs within the last ten years. Early research studies were solely focused on general text classification and these techniques were later improved, and applied to classify webpages, and then to blogs due to the similarity of textual content present in these items. We review how blog classification techniques have evolved from the foremost text classification techniques to the recent ones and discuss the future research directions.
Keywords: Blog classification, Blogosphere, Supervised, Semi-supervised, Unsupervised classification.