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.
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Ma, B., Yuan, H., Wei, Q. (2013). A Comparison Study of Clustering Models for Online Review Sentiment Analysis. In: Wang, J., Xiong, H., Ishikawa, Y., Xu, J., Zhou, J. (eds) Web-Age Information Management. WAIM 2013. Lecture Notes in Computer Science, vol 7923. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38562-9_34
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DOI: https://doi.org/10.1007/978-3-642-38562-9_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38561-2
Online ISBN: 978-3-642-38562-9
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