DocumentCode
124158
Title
Sentence-Based Plot Classification for Online Review Comments
Author
Iwai, Hisato ; Hijikata, Yoshinori ; Ikeda, Ken-ichi ; Nishida, Shuichi
Author_Institution
Grad. Sch. of Eng. Sci., Osaka Univ., Toyonaka, Japan
Volume
1
fYear
2014
fDate
11-14 Aug. 2014
Firstpage
245
Lastpage
253
Abstract
Many shopping sites provide functions to submit a user review for a purchased item. Reviews of items including stories such as novels and movies sometimes contain spoilers (undesired and revealing plot descriptions) along with the opinions of the review author. In this paper, we propose a system that helps users see reviews without seeing such plot descriptions. This system classifies each sentence in a user review as plot-related or non-plot-related and hides plot descriptions from user reviews. We tested five common machine-learning algorithms to ascertain the appropriate algorithm to address this problem. We also proposed a method of generalizing people´s names, which we think is strongly related to the plot description. We verified its contribution to the classification results. Finally, we implemented a display interface of user reviews in which users can control the level of plot hiding.
Keywords
customer satisfaction; learning (artificial intelligence); pattern classification; retail data processing; user interfaces; classilication results; display interface; machine-learning algorithms; online review comments; plot descriptions; plot hiding; purchased item; review author; sentence-based plot classification; shopping sites; user review; Classification algorithms; DVD; Educational institutions; Logistics; Machine learning algorithms; Motion pictures; Support vector machines; bag of words; machine learning; plot classification; sentiment analysis; text mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2014 IEEE/WIC/ACM International Joint Conferences on
Conference_Location
Warsaw
Type
conf
DOI
10.1109/WI-IAT.2014.40
Filename
6927549
Link To Document