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Performance and trends in recent opinion retrieval techniques

Published online by Cambridge University Press:  03 May 2013

Sylvester O. Orimaye ,
Saadat M. Alhashmi  and
Eu-Gene Siew
Sylvester O. Orimaye
Affiliation:
Faculty of Information Technology, Monash University, Jalan Lagoon Selatan, 46150 Bandar Sunway, Selangor Darul Ehsan, Malaysia; e-mail: sylvester.orimaye@monash.edu, alhashmi@monash.edu, siew.eu-gene@monash.edu
Saadat M. Alhashmi
Affiliation:
Faculty of Information Technology, Monash University, Jalan Lagoon Selatan, 46150 Bandar Sunway, Selangor Darul Ehsan, Malaysia; e-mail: sylvester.orimaye@monash.edu, alhashmi@monash.edu, siew.eu-gene@monash.edu
Eu-Gene Siew
Affiliation:
Faculty of Information Technology, Monash University, Jalan Lagoon Selatan, 46150 Bandar Sunway, Selangor Darul Ehsan, Malaysia; e-mail: sylvester.orimaye@monash.edu, alhashmi@monash.edu, siew.eu-gene@monash.edu
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Abstract

This paper presents trends and performance of opinion retrieval techniques proposed within the last 8 years. We identify major techniques in opinion retrieval and group them into four popular categories. We describe the state-of-the-art techniques for each category and emphasize on their performance and limitations. We then summarize with a performance comparison table for the techniques on different datasets. Finally, we highlight possible future research directions that can help solve existing challenges in opinion retrieval.

Type
Articles
Information
The Knowledge Engineering Review , Volume 30 , Issue 1 , January 2015 , pp. 76 - 105
Copyright
Copyright © Cambridge University Press 2013 

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