Relation between a Book Review Content and Its Rating

DOI

10.2991/cisia-15.2015.229How to use a DOI?

Keywords

text analysis; text mining; opinion mining; book review; product review

Abstract

While millions of products and services are consumed everyday, consumers may share their experiences by posting a review on the Web. A review usually consists of paragraphs of text. Readers wishing to learn details may choose to read the textual description. In many reviews, a product rating is also provided. Such rating might appear simply as a number of stars, a list of adjectives (excellent, good, poor, etc) to choose from. Readers may quickly look at those ratings, just to get a rough idea about the tone of the reviews. This research aims to discover the relation between a product review content and its rating. Specifically, different parts of speech in the review text are analyzed and used to predict the rating. Some classification algorithms are employed as discovery tools. Data used for this study in particular is a number of book reviews from amazon.com’s Books department.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - P. Tanawongsuwan
PY  - 2015/06
DA  - 2015/06
TI  - Relation between a Book Review Content and Its Rating
BT  - Proceedings of the International Conference on Computer Information Systems and Industrial Applications
PB  - Atlantis Press
SP  - 853
EP  - 856
SN  - 2352-538X
UR  - https://doi.org/10.2991/cisia-15.2015.229
DO  - 10.2991/cisia-15.2015.229
ID  - Tanawongsuwan2015/06
ER  -