Record Details

USING TEXT MINING TECHNIQUES TO ANALYZE HOW MOVIE FORUMS AFFECT THE BOX OFFICE

International Journal of Electronic Commerce Studies

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Field Value
 
Title USING TEXT MINING TECHNIQUES TO ANALYZE HOW MOVIE FORUMS AFFECT THE BOX OFFICE
 
Creator Chiang, I-ping; National Taipei University
Wen, Yean-Fu; National Taipei University
Li, Ming-Chien; National Taipei University
Hsu, Chiao-Ying; National Taipei University
Luo, Yu-Chun; National Taipei University
 
Subject Box Office; Film Industry; Forecast; Text Mining; WOM
 
Description As a forecasting tool, audience movie reviews provide a guide for film companies. This study uses a text mining technique to analyze the American film market. It explores movie reviews including word of mouth (WOM) factors (i.e., movie content, positive, negative, and promotion) and related factors (i.e., time, rating, and the number of ratings) for the box office. According to the relationship between the keyword clusters, the major factors that affect the box office are determined. The findings provide reference for movie producers to manipulate WOMs.To cite this document: I-ping Chiang, Yean-Fu Wen, Yu-Chun Luo, Ming-Chien Li, and Chiao-Ying Hsu, "Using text mining techniques to analyze how movie forums affect the box office", International Journal of Electronic Commerce Studies, Vol.5, No.1, pp. 91-96, 2014.Permanent link to this document:http://dx.doi.org/10.7903/ijecs.1027
 
Publisher Academy of Taiwan Information Systems Research
 
Contributor —
 
Date 2014-07-25
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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Format application/pdf
 
Identifier http://academic-pub.org/ojs/index.php/ijecs/article/view/1027
10.7903/ijecs.1027
 
Source "International Journal of Electronic Commerce Studies"; Vol 5, No 1 (2014); 91-96
2073-9729
 
Language eng
 
Relation http://academic-pub.org/ojs/index.php/ijecs/article/view/1027/166
 
Rights Copyright (c) 2014 International Journal of Electronic Commerce Studies