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

Authors

  • I-ping Chiang National Taipei University
  • Yean-Fu Wen National Taipei University
  • Ming-Chien Li National Taipei University
  • Chiao-Ying Hsu National Taipei University
  • Yu-Chun Luo National Taipei University

DOI:

https://doi.org/10.7903/ijecs.1027

Keywords:

Box Office, Film Industry, Forecast, Text Mining, WOM

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.

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

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Published

2014-07-25

Issue

Vol. 5 No. 1 (2014)

Section

Regular Articles