Visualization and Clustering of Online Book Reviews

Shiaofen Fang, Lanfang Miao, Eric Lin


Online user reviews of products, movies, books, etc. have been an important source of information for applications such as social networking, online retail, and sentiment analysis. In this paper, we present a novel visualization tool for analysing and visualizing online book reviews. Using text mining techniques, nontrivial features (tags) are identified on the text data extracted from the online reviews. These keyword tags are used to cluster both the books and the readers based on global tag similarities. Two different visualization methods are proposed: parallel coordinate views and 3D correlative cluster views. The parallel coordinate visualization provides a flat view of the tag distributions to reveal clustering patterns. A novel 3D corrective visualization technique is developed to visually represent the correlations of reader clusters and book clusters. These visualization techniques can also be applied to other types of online text data in social networks and web commerce.


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Paper Citation

in Harvard Style

Fang S., Miao L. and Lin E. (2014). Visualization and Clustering of Online Book Reviews . In Proceedings of the 5th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2014) ISBN 978-989-758-005-5, pages 187-194. DOI: 10.5220/0004745501870194

in Bibtex Style

author={Shiaofen Fang and Lanfang Miao and Eric Lin},
title={Visualization and Clustering of Online Book Reviews},
booktitle={Proceedings of the 5th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2014)},

in EndNote Style

JO - Proceedings of the 5th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2014)
TI - Visualization and Clustering of Online Book Reviews
SN - 978-989-758-005-5
AU - Fang S.
AU - Miao L.
AU - Lin E.
PY - 2014
SP - 187
EP - 194
DO - 10.5220/0004745501870194