Open AccessUSING TEXT MINING TECHNIQUES TO ANALYZE HOW MOVIE FORUMS AFFECT THE BOX OFFICE
Author(s) -
IPing Chiang,
YeanFu Wen,
Yu-Chun Luo,
Ming-Chien Li,
ChunChun Hsu
Publication year - 2014
Publication title -
international journal of electronic commerce studies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.196
H-Index - 9
eISSN - 2410-8588
pISSN - 2073-9729
DOI - 10.7903/ijecs.1027
Subject(s) - box office , affect (linguistics) , word of mouth , advertising , promotion (chess) , film industry , computer science , business , psychology , marketing , political science , movie theater , art , visual arts , communication , politics , law
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.\u