QUT Digital Repository : State-of-the-Art Review on Opinion Mining from Online Customers ’ Feedback

Touhid Bhuiyan; Yue Xu; Audun Jøsang

Journal Article

QUT Digital Repository : State-of-the-Art Review on Opinion Mining from Online Customers ’ Feedback

Bhuiyan T
Xu Y
Jøsang A

The 9th Asia-Pacific Complex Systems Conference (2009) (November) 4-7

N/ACitations

63Readers

Abstract

In this paper we present a state of the art review of Opinion Mining from online customer feedback. We critically evaluate the existing work and expose cutting edge area of interest in opinion mining. We also classify the approaches taken by different researchers into several categories and sub-categories. Each of those steps is analyzed with their strength and limitations in this paper.

Author supplied keywords

components of the object
customer feedback
data mining
extract attributes and
on
opinion
opinion mining aims to
sentiment analysis
text mining
that have been commented

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CITATION STYLE

APA

Bhuiyan, T., Xu, Y., & Jøsang, A. (2009). QUT Digital Repository : State-of-the-Art Review on Opinion Mining from Online Customers ’ Feedback. The 9th Asia-Pacific Complex Systems Conference, (November), 4–7.

QUT Digital Repository : State-of-the-Art Review on Opinion Mining from Online Customers ’ Feedback

Abstract

Author supplied keywords

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