Opinion Detection in Blogs: What Is Still Missing?

In recent years, a lot of work has been done in the field of Opinion Detection in blogs but most of the research is based on machine learning or lexical based approaches. The objective of this paper is to focus on Social Network based evidences that can be exploited for the task of Opinion Detection...

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Bibliographic Details
Main Authors: Missen, M M S, Boughanem, M, Cabanac, G
Format: Conference Proceeding
Language:English
Subjects:
Blogosphere
Blogs
Context
Estimation
Face
Information Retrieval
Machine learning
Opinion Detection
Opinion Prediction
Polarity Detection
Social network services
Social Networking
Subjectivity
Time frequency analysis
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Summary:In recent years, a lot of work has been done in the field of Opinion Detection in blogs but most of the research is based on machine learning or lexical based approaches. The objective of this paper is to focus on Social Network based evidences that can be exploited for the task of Opinion Detection. We propose a framework that makes use of the major elements of the blogosphere for extracting opinions from blogs. Besides this, we highlight the tasks of opinion prediction and multidimensional ranking. In addition, we also discuss the challenges that researchers might face while realizing the proposed framework. At the end, we demonstrate the importance of social networking evidences by performing experimentation.
DOI:10.1109/ASONAM.2010.59