A Novel Ontological Technique for Sentiment Analysis

The internet has been a place for people to express their feelings and opinion through social networking sites like facebook, tweeter, myspace and many other more. With this, new opportunities and challenges arise as how people can actively use information technologies to seek out and understand the opinions and feelings of other from these social networking sites. Thus opinion mining and sentiment analysis has been the one of the most active studies which deals with the computational treatment of opinion, sentiment, and subjectivity in text. With this, the surge of new systems that can deal directly with opinion as a first-class object has arisen. To directly enable opinion-oriented information seeking, the method we are going to be focus on is to seek the new challenges raised by sentimentware application, as compare to those that are already present in more traditional face-based analysis.

Authors and Affiliations

1. School of Computing and IT, Taylor’s University, Malaysia

   Kye Lok Tan & Jer Lang Hong

2. School of Business, Monash University, Australia

   Ee Xion Tan

Editors and Affiliations

1. Texas A&M University at Qatar, Education City, P.O. Box 23874, Doha, Qatar

   Tingwen Huang

2. Department of Control Science and Engineering, Huazhong University of Science and Technology, 1037 Luoyu Road, 430074, Wuhan, Hubei, China

   Zhigang Zeng

3. College of Computer Science, Chongqing University, 174 Shazhengjie Street, 400044, Chongqing, China

   Chuandong Li

4. Department of Electronic Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong, China

   Chi Sing Leung

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