short-paper

Eatery: A Multi-Aspect Restaurant Rating System

Authors:

Rrubaa Panchendrarajan,

Prakhash Sivakumar,

Brunthavan Murugaiah,

Surangika Ranathunga,

Akila PemasiriAuthors Info & Claims

HT '17: Proceedings of the 28th ACM Conference on Hypertext and Social Media

Pages 225 - 234

https://doi.org/10.1145/3078714.3078737

Published: 04 July 2017 Publication History

Editorial Notes

A corrigendum was issued for this article on April 8, 2019. This can be found under the Source Materials tab.

Abstract

This paper presents Eatery, a multi-aspect restaurant rating system that identifies rating values for different aspects of a restaurant by means of aspect-level sentiment analysis. Eatery uses a hierarchical taxonomy that represents relationships between various aspects of the restaurant domain that enables finding the sentiment score of an aspect as a composite sentiment score of its sub-aspects. The system consists of a word co-occurrence based technique to identify multiple implicit aspects appearing in a sentence of a review. An improved version of Analytic Hierarchy Process (AHP) is used to obtain weights specific to a restaurant by utilizing the relationships between aspects, which allows finding the composite sentiment score for each aspect in the taxonomy. The system also has the ability to rate individual food items and food categories. An improved version of Single Pass Partition Method (SPPM) is used to categorise food names to obtain food categories.

Supplementary Material

PDF File (p225-panchendrarajan_corrigendum.pdf)

Corrigendum to "Eatery: A Multi-Aspect Restaurant Rating System", by Panchendrarajan, et al., HT '17 Proceedings of the 28th ACM Conference on Hypertext and Social Media

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Cited By

Yamanishi RFujioka HNishihara Y(2021)Aspects Classification on Restaurant Reviews with Pseudo Corpus擬似コーパスを用いた飲食店レビューの観点の自動分類Transactions of the Japanese Society for Artificial Intelligence10.1527/tjsai.36-1_WI2-A36:1(WI2-A_1-8)Online publication date: 1-Jan-2021
https://doi.org/10.1527/tjsai.36-1_WI2-A
Somashekar SMallesh S(2021)Restaurant Rating Prediction Using Regression2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA)10.1109/ICECA52323.2021.9675922(1139-1144)Online publication date: 2-Dec-2021
https://doi.org/10.1109/ICECA52323.2021.9675922
Afzaal MUsman MFong AFong S(2019)Multiaspect‐based opinion classification model for tourist reviewsExpert Systems10.1111/exsy.1237136:2(e12371)Online publication date: 31-Jan-2019
https://doi.org/10.1111/exsy.12371
Show More Cited By

Index Terms

Eatery: A Multi-Aspect Restaurant Rating System

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Information

Published In

cover image ACM Conferences

HT '17: Proceedings of the 28th ACM Conference on Hypertext and Social Media

July 2017

336 pages

ISBN:9781450347082

DOI:10.1145/3078714

General Chairs:
Peter Dolog
Aalborg University, Denmark
,
Peter Vojtas
Charles University, Prague, Czech Republic
,
Program Chairs:
Francesco Bonchi
ISI Foundation, Turin, Italy
,
Denis Helic
Graz University of Technology, Austria

Copyright © 2017 ACM.

© 2017 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

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Published: 04 July 2017

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HT'17: 28th Conference on Hypertext and Social Media

July 4 - 7, 2017

Prague, Czech Republic

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HT '17 Paper Acceptance Rate 19 of 69 submissions, 28%;

Overall Acceptance Rate 378 of 1,158 submissions, 33%

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Cited By

Yamanishi RFujioka HNishihara Y(2021)Aspects Classification on Restaurant Reviews with Pseudo Corpus擬似コーパスを用いた飲食店レビューの観点の自動分類Transactions of the Japanese Society for Artificial Intelligence10.1527/tjsai.36-1_WI2-A36:1(WI2-A_1-8)Online publication date: 1-Jan-2021
https://doi.org/10.1527/tjsai.36-1_WI2-A
Somashekar SMallesh S(2021)Restaurant Rating Prediction Using Regression2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA)10.1109/ICECA52323.2021.9675922(1139-1144)Online publication date: 2-Dec-2021
https://doi.org/10.1109/ICECA52323.2021.9675922
Afzaal MUsman MFong AFong S(2019)Multiaspect‐based opinion classification model for tourist reviewsExpert Systems10.1111/exsy.1237136:2(e12371)Online publication date: 31-Jan-2019
https://doi.org/10.1111/exsy.12371
Sabeeh ADewang R(2018)Comparison, Classification and Survey of Aspect Based Sentiment AnalysisAdvanced Informatics for Computing Research10.1007/978-981-13-3140-4_55(612-629)Online publication date: 12-Dec-2018
https://doi.org/10.1007/978-981-13-3140-4_55

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