Multi-facet rating of product reviews

Stefano Baccianella, Andrea Esuli, Fabrizio Sebastiani

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

14 Citations (Scopus)

Abstract

Online product reviews are becoming increasingly available, and are being used more and more frequently by consumers in order to choose among competing products. Tools that rank competing products in terms of the satisfaction of consumers that have purchased the product before, are thus also becoming popular. We tackle the problem of rating (i.e., attributing a numerical score of satisfaction to) consumer reviews based on their textual content. We here focus on multi-facet review rating, i.e., on the case in which the review of a product (e.g., a hotel) must be rated several times, according to several aspects of the product (for a hotel: cleanliness, centrality of location, etc.). We explore several aspects of the problem, with special emphasis on how to generate vectorial representations of the text by means of POS tagging, sentiment analysis, and feature selection for ordinal regression learning. We present the results of experiments conducted on a dataset of more than 15,000 reviews that we have crawled from a popular hotel review site.

Original languageEnglish
Title of host publicationAdvances in Information Retrieval - 31th European Conference on IR Research, ECIR 2009, Proceedings
Pages485-496
Number of pages12
DOIs
Publication statusPublished - 23 Jul 2009
Event31th European Conference on Information Retrieval, ECIR 2009 - Toulouse, France
Duration: 6 Apr 20099 Apr 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5478 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference31th European Conference on Information Retrieval, ECIR 2009
CountryFrance
CityToulouse
Period6/4/099/4/09

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Baccianella, S., Esuli, A., & Sebastiani, F. (2009). Multi-facet rating of product reviews. In Advances in Information Retrieval - 31th European Conference on IR Research, ECIR 2009, Proceedings (pp. 485-496). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5478 LNCS). https://doi.org/10.1007/978-3-642-00958-7_43