A comparison study of clustering models for online review sentiment analysis

Authors:
Baojun Ma;Hua Yuan;Qiang Wei
Affiliations:
School of Economics and Management, Tsinghua University, Beijing, China,School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China;School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, China;School of Economics and Management, Tsinghua University, Beijing, China
Venue:
WAIM'13 Proceedings of the 14th international conference on Web-Age Information Management
Year:
2013

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Abstract

In this work, we conduct a comparison study of the online review sentiment clustering problem from a combined perspective of data preprocessing, VSM modeling and clustering algorithm. To that end, we first introduce some methods for data preprocessing. Then, we explore the impacts of the term weighting models for review representation. Finally, we present detailed experiment results of some review clustering techniques. The conclusions would be valuable for both the study and usage of clustering methods in online review sentiment analysis.