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

Authors :
I-ping Chiang
Yean-Fu Wen
Yu-Chun Luo
Ming-Chien Li
Chiao-Ying Hsu
Source :
International Journal of Electronic Commerce Studies; 2014, Vol. 5 Issue 1, p91-96, 6p
Publication Year :
2014

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20739729
Volume :
5
Issue :
1
Database :
Complementary Index
Journal :
International Journal of Electronic Commerce Studies
Publication Type :
Academic Journal
Accession number :
97274035
Full Text :
https://doi.org/10.7903/ijecs.1027