Aspect based Opinion Mining from Restaurant Reviews

T C Chinsha, Shibily Joseph · International Conference on Advanced Computing · 2015

Summary

This paper focus on the aspect based opinion mining of restaurant reviews, i.e. given a set of reviews of a restaurant the authors get a sentiment profile of its important features automatically.

Type: article
Published: 2015-09-02
Cited by: 10
References: 14
OpenAlex: https://openalex.org/W257270349
Semantic Scholar: https://api.semanticscholar.org/CorpusID:60234666

Keywords

Sentiment analysis, Computer science, Data science, Business, Artificial intelligence

References

Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of ReviewsPeter D. Turney — 2002
Towards Enhanced Opinion Classification using NLP Techniques.Akshat Bakliwal, Piyush Arora, Ankit Patil — 2011
Sentiment Classification of Reviews Using SentiWordNetBruno Ohana — 2009
Opinion Zoom: A Modular Tool to Explore Tourism Opinions on the WebEdison Marrese-Taylor, Juan D. Velásquez, Felipe Bravo-Márquez — 2013
Aspect based Sentiment Analysis using support vector machine classifierRaisa Varghese, M. Jayasree — 2013
Extracting Product Features and Opinions from ReviewsAna-Maria Popescu, Oren Etzioni — 2005
Sentiment analysis of movie reviews: A new feature-based heuristic for aspect-level sentiment classificationVivek Kumar Singh, Rajesh Piryani, Ashraf Uddin — 2013
Sentiment analysis of movie reviews on discussion boards using a linguistic approachTun Thura Thet, Jin‐Cheon Na, Christopher S. G. Khoo — 2009
Mining and summarizing customer reviewsMinqing Hu, Bing Liu — 2004
Thumbs up? Sentiment Classification using Machine Learning TechniquesBo Pang, Lillian Lee, Shivakumar Vaithyanathan — 2002
Sentiment Analysis and Opinion MiningBing Liu — 2012
Identifying Customer Preferences about Tourism Products Using an Aspect-based Opinion Mining ApproachEdison Marrese-Taylor, Juan D. Velásquez, Felipe Bravo-Márquez — 2013
Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of ReviewsPeter Peter, Turney — 2002
OpinionZoom, a modular tool to explore tourism opinions on the WebEdison Marrese-Taylor, Juan D. Velásquez, Felipe Bravo-Márquez — 2016
Advances in Computing, Communications and Informatics (ICACCI)Sabu M. Thampi, Michal Wozniak, O. Marques — 2015
International Conference in Knowledge Based and Intelligent Information and Engineering Systems-KES 2013 Identifying Customer Preferences about Tourism Products using an Aspect-Based Opinion Mining ApproachEdison Marrese-Taylor, J. D. Velásquez, Felipe Bravo-Marquez — 2013

Cited by

Loyalty Card Membership Challenge: A Study on Membership Churn and their Spending BehaviourTong-Ming Lim, Angela Siew Hoong Lee — 2017
Aspect based opinion mining on restaurant reviewsI. K. C. U. Perera, Amitha Caldera — 2017
Jen-Ton: A framework to enhance the accuracy of aspect level sentiment analysis in big dataA. Jenifer Jothi Mary, L. Arockiam — 2017
Text Mining Customer Reviews For Aspect-based Restaurant RatingJovelyn C. Cuizon, Jesserine Lopez, Danica Rose Jones — 2018
Multiaspect‐based opinion classification model for tourist reviewsMuhammad Afzaal, Muhammad Usman, A.C.M. Fong — 2019
Sentiment Analysis of Restaurant Reviews using Combined CNN-LSTMNaimul Hossain, Md. Rafiuzzaman Bhuiyan, Zerin Nasrin Tumpa — 2020
PRESERVING MINING OF WEB REVIEWS BASED ON SENTIMENT ANALYSIS AND FUZZY SETS 1M. Nofal, S. Sabbeh, K. M. Fouad — 2018
Opinion Mining for Mcdonald’s Services Using Machine LearningS. Praneeth, M. Deepak — 2016
Ranking Based Opinion Mining in Myanmar Travel DomainNilar Aye, Thinn Thu Naing — 2019
Aspect-Based Sentiment Analysis of Online Product ReviewsV. Mishra, Himanshu Tiruwa — 2020

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