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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.

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

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