P Deepa Shenoy and Venugopal KR,“PTMIB: Profiling Top Most Influential Blogger using Content Based Data Mining Approach,”

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Vasanthakumar, G.U and Priyanka, R. and Vanitha Raj, K.C. and Bhavani, S. and Venugopal, K.R. and Asha Rani, B.R. and Venugopal, K.R. (2016) P Deepa Shenoy and Venugopal KR,“PTMIB: Profiling Top Most Influential Blogger using Content Based Data Mining Approach,”. IEEE International Conference on Data Science and Engineering (ICDSE-2016), Cochin, India, 7 (2). ISSN 2229-6959

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Official URL: http://10.21917/ijsc.2017.0195

Abstract

Users of Online Social Network (OSN) communicate with each other, exchange information and spread rapidly influencing others in the network for taking various decisions. Blog sites allow their users to create and publish thoughts on various topics of their interest in the form of blogs/blog documents, catching the attention and letting readers to perform various activities on them. Based on the content of the blog documents posted by the user, they become popular. In this work, a novel method to profile Top Most Influential Blogger (TMIB) is proposed based on content analysis. Content of blog documents of bloggers under consideration in the blog network are compared and analyzed. Term Frequency and Inverse Document Frequency (TF-IDF) of blog documents under consideration are obtained and their Cosine Similarity score is computed. Synonyms are substituted against those unmatched keywords if the Cosine Similarity score so computed is below the threshold and an improved Cosine Similarity score of those documents under consideration is obtained. Computing the Influence Score after Synonym substitution (ISaS) of those bloggers under conflict, the top most influential blogger is profiled. The simulation results demonstrate that the proposed Profiling Top Most Influential Blogger using Synonym Substitution (PTMIBSS) algorithm is adequately accurate in determining the top most influential blogger at any instant of time considered.

Item Type: Article
Uncontrolled Keywords: Blog Document; Content Analysis; Cosine Similarity Score; Influential Blogger; Profiling.
Subjects: Faculty of Engineering > Computer Science & Information Science Engineering
Divisions: University Visvesvarayya College of Engineering > Department of Computer Science and Information Science Engineering
Depositing User: Ms. Shwetha A C
Date Deposited: 30 Sep 2021 09:18
Last Modified: 30 Sep 2021 09:18
URI: http://eprints-bangaloreuniversity.in/id/eprint/9763

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