Opinion Mining From Blogosphere for Analysis of Social Networking
Amruta S. Dulange1, R.B.Kulkarni2, Supriya S. Ambarkar3
1Miss.Amruta S. Dulange, BE CSE,ME CSE IInd Year Walchand Institute of Technology, Solapur, India.
2Dr. Raj B.Kulkarni, Associate Professor in CSE Department, Walchand Institute of Technology, Solapur, India.
3Mrs.Supriya S. Ambarkar, Assistant Professor in CSE Department, Walchand Institute of Technology, Solapur, India.
Manuscript received on August 03, 2013. | Revised Manuscript received on August 28, 2013. | Manuscript published on September 05, 2013. | PP: 141-146 | Volume-3, Issue-4, September 2013. | Retrieval Number: D1800093413/2013©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: Blogs are most common medium over web where user posts their opinion. It is considered to be a web space of the users where they share their views, beliefs and other philosophy. The blogs are generally categorized of two types: Itemized blogs, where the user posts his views and opinions against a web news or news item and personal blogs where users posts random topics of their interest under the header of their choice. As more and more number of users publish their data over the web, it becomes significant that Meanings are extracted from blog and they are indexed properly for information retrieval. In this work we develop a crawler to read data from RSS feeds of blogs and save them locally. Finally we apply data mining technique to index the blogs for easy searching and information extraction.
Keywords: Web Mining, Blog, Blog Search, Blog Mining.