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Weighing Stars: Aggregating Online Product Reviews for Intelligent E-commerce Applications
September/October 2008 (vol. 23 no. 5)
pp. 42-49
ASCII Text
x 
 
Zhu Zhang, "Weighing Stars: Aggregating Online Product Reviews for Intelligent E-commerce Applications," IEEE Intelligent Systems, vol. 23, no. 5, pp. 42-49, September/October, 2008.
 
 
BibTex
x
 
@article{ 10.1109/MIS.2008.95,
author = {Zhu Zhang},
title = {Weighing Stars: Aggregating Online Product Reviews for Intelligent E-commerce Applications},
journal ={IEEE Intelligent Systems},
volume = {23},
number = {5},
issn = {1541-1672},
year = {2008},
pages = {42-49},
doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2008.95},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Intelligent Systems
TI - Weighing Stars: Aggregating Online Product Reviews for Intelligent E-commerce Applications
IS - 5
SN - 1541-1672
SP42
EP49
EPD - 42-49
A1 - Zhu Zhang,
PY - 2008
KW - Information Search and Retrieval
KW - Text mining
KW - Web mining
KW - Machine learning
KW - Web text analysis
VL - 23
JA - IEEE Intelligent Systems
ER -
 
Zhu Zhang, University of Arizona
The author identifies a new task in the ongoing research in text sentiment analysis: aggregating online product reviews in light of two orthogonal dimensions, namely, polarity/opinion extraction and usefulness scoring. The motivation is to build future review aggregation or ranking services that enable both online shoppers and vendors to better leverage information from multiple sources. Usefulness scoring is viewed as a regression problem. The author builds support-vector-regression models by incorporating a diverse set feature set computed from review text, which achieved promising performance on four Amazon product review collections. Findings also indicate that a product review's perceived usefulness is highly dependent on its linguistic style. Further rank correlation analyses on the Amazon data demonstrates the feasibility and advantage of the proposed review-aggregation framework, in the context of predicting market response to certain products. This article is part of a special issue on Natural Language Processing and the Web.

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Index Terms:
Information Search and Retrieval, Text mining, Web mining, Machine learning, Web text analysis
Citation:
Zhu Zhang, "Weighing Stars: Aggregating Online Product Reviews for Intelligent E-commerce Applications," IEEE Intelligent Systems, vol. 23, no. 5, pp. 42-49, Sept.-Oct. 2008, doi:10.1109/MIS.2008.95
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