Framework for Opinion Mining from Web Blogs
Main Article Content
Abstract
Last two decade content generations on the web are phenomenon due to Web 2.0. It gives the platform to exchange the ideas, views, thought, experience, opinion, share information, likes and dislikes to the millions of peoples using Blogs, reviews, and other social network sites. Since the characteristics of blog are different than the normal webpage therefore we require the different technique to apply on blog data to extract the latent knowledge discovery from the blogs. The scope of this Paper limits to the discussion of analysis and mining of opinion from blogs. In this Paper an attempt has been made to describe and discuss various analysis and mining techniques used for extracting opinion from blogs. We have purposed a framework for opinion mining from blogs. The Paper also discusses various issues and challenges in analyzing and mining the blogs as well as future scope of research.
Keywords: Blog, opinion mining, Web Mining; Lexicon; Text Mining, Machine learning techniques, business intelligence.
Downloads
Article Details
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.