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Product Feature Grouping for Opinion Mining
July-Aug. 2012 (vol. 27 no. 4)
pp. 37-44
ASCII Text
x 
 
Zhongwu Zhai, Bing Liu, Jingyuan Wang, Hua Xu, Peifa Jia, "Product Feature Grouping for Opinion Mining," IEEE Intelligent Systems, vol. 27, no. 4, pp. 37-44, July-Aug., 2012.
 
 
BibTex
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@article{ 10.1109/MIS.2011.38,
author = {Zhongwu Zhai and Bing Liu and Jingyuan Wang and Hua Xu and Peifa Jia},
title = {Product Feature Grouping for Opinion Mining},
journal ={IEEE Intelligent Systems},
volume = {27},
number = {4},
issn = {1541-1672},
year = {2012},
pages = {37-44},
doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2011.38},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Intelligent Systems
TI - Product Feature Grouping for Opinion Mining
IS - 4
SN - 1541-1672
SP37
EP44
EPD - 37-44
A1 - Zhongwu Zhai,
A1 - Bing Liu,
A1 - Jingyuan Wang,
A1 - Hua Xu,
A1 - Peifa Jia,
PY - 2012
KW - Feature extraction
KW - Context awareness
KW - Information analysis
KW - Semisupervised learning
KW - Data mining
KW - Bayesian methods
KW - semi-supervised learning
KW - opinion mining
KW - product feature grouping
VL - 27
JA - IEEE Intelligent Systems
ER -
 
Zhongwu Zhai, Tsinghua University
Bing Liu, University of Illinois at Chicago
Jingyuan Wang, Tsinghua University
Hua Xu, Tsinghua University
Peifa Jia, Tsinghua University
A constrained semisupervised learning method classifies words and phrases into feature groups, making it easier to produce an opinion summary of various product reviews.
Index Terms:
Feature extraction,Context awareness,Information analysis,Semisupervised learning,Data mining,Bayesian methods,semi-supervised learning,opinion mining,product feature grouping
Citation:
Zhongwu Zhai, Bing Liu, Jingyuan Wang, Hua Xu, Peifa Jia, "Product Feature Grouping for Opinion Mining," IEEE Intelligent Systems, vol. 27, no. 4, pp. 37-44, July-Aug. 2012, doi:10.1109/MIS.2011.38
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