Abstract
We propose a system that can score online reputation text for a given attribute, e.g., design and portability, in a certain category, e.g., mp3 players and laptops. Additionally, we visualize scored results as an interactive system. The scoring system has evaluative expression dictionaries created in advance using reviews. They comprise evaluative values that determine the attribute-wise polarity of evaluative expressions: good or bad. Our system analyzes online reputation using the evaluative expression dictionaries, and then outputs the scores of the reputation. The system helps users to ascertain a reputation easier than merely by reading through textual information.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Dave, K., Lawrence, S., Pennock, D.M.: Mining the Peanut Gallery: Opinion Extraction and Semantic Classification of Product Reviews. In: Proc. of the 12th International Conference on World Wide Web, pp. 519–528 (2003)
Liu, B., Hu, M., Cheng, J.: Opinion Observer: Analyzing and Comparing Opinions on the Web. In: Proc. of the 14th International Conference on World Wide Web, pp. 342–351 (2005)
Tanimoto, Y., Ohta, M.: A Proposal of Visualizing Reputation Using Evaluative Expression Dictionaries. In: Proc. of the Fourth International Conference on Ubiquitous Information Management and Communication, pp. 339–346 (2010)
Kakaku.com, http://kakaku.com/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Tanimoto, Y., Niitsuma, H., Ohta, M. (2014). Prototype System for Visualizing Review Text Using Evaluative Expression Dictionaries. In: Chen, L., Jia, Y., Sellis, T., Liu, G. (eds) Web Technologies and Applications. APWeb 2014. Lecture Notes in Computer Science, vol 8709. Springer, Cham. https://doi.org/10.1007/978-3-319-11116-2_65
Download citation
DOI: https://doi.org/10.1007/978-3-319-11116-2_65
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11115-5
Online ISBN: 978-3-319-11116-2
eBook Packages: Computer ScienceComputer Science (R0)