Prototype system for visualizing review text using evaluative expression dictionaries

Yuki Tanimoto, Hirotaka Niitsuma, Manabu Ohta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages662-665
Number of pages4
Volume8709 LNCS
ISBN (Print)9783319111155
DOIs
Publication statusPublished - 2014
Event16th Asia-Pacific Web Conference on Web Technologies and Applications, APWeb 2014 - Changsha, China
Duration: Sep 5 2014Sep 7 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8709 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other16th Asia-Pacific Web Conference on Web Technologies and Applications, APWeb 2014
CountryChina
CityChangsha
Period9/5/149/7/14

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Keywords

  • evaluative expression dictionary
  • reputation
  • review
  • visualization

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Tanimoto, Y., Niitsuma, H., & Ohta, M. (2014). Prototype system for visualizing review text using evaluative expression dictionaries. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8709 LNCS, pp. 662-665). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8709 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-11116-2_65