Title :
Investigation of Preprocessing of Multilingual Online Reviews for Automatic Classification
Author :
Okada, Makoto ; Hashimoto, Kiyota
Author_Institution :
Grad. Sch. of Sci., Osaka Prefecture Univ., Sakai, Japan
fDate :
May 30 2012-June 1 2012
Abstract :
Online reviews of commercial sites are important sources for customers to obtain information and opinions by other customers. However, generally, the reviews contain several mixed information such as purpose and sentiments of reviewers. Therefore, when the reviews are classified automatically using some machine learning methods, it is necessary to construct adequate data preliminary for machine learning. In this paper, we obtained multilingual reviews from a travel information portal site "TripAdvisor", and investigated whether preprocessing is effective or not in order to classify reviews appropriately using a machine learning method "Support Vector Machine (SVM)." We also investigated difference of effectiveness when the reviews are written by different languages.
Keywords :
Web sites; classification; customer services; learning (artificial intelligence); natural languages; portals; reviews; support vector machines; travel industry; SVM; TripAdvisor; automatic classification; commercial sites; data preliminary; machine learning methods; multilingual online review preprocessing; reviewer purpose; reviewer sentiments; support vector machine; travel information portal site; Accuracy; Data mining; Dictionaries; Learning systems; Support vector machine classification; Vectors; Multilingual online reviews; Preprocessing; Support vector machine;
Conference_Titel :
Computer and Information Science (ICIS), 2012 IEEE/ACIS 11th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-1536-4
DOI :
10.1109/ICIS.2012.64
