| 期刊詳細資料 Journal detailed information |
| 作者(Author) | I-P. Chiang, Yean-Fu Wen*, Y.-C. Luo, M.-C. Li, and C.-Y. Hsu |
| 篇名(Article title) | Using Text Mining Techniques to Analyze How the Movies Forum Affect Box Office |
| 期刊名(Journal name) | International Journal of Electronic Commerce Studies |
| 國際期刊(International Journal) | EI |
| 中文摘要(Abstrct) | |
| ABSTRCT | The audience movie reviews provide the guide to film company as a
forecasting tool. This study used a text mining technique to analyze the
American film market as an example. We explored the movie reviews in a
combination of 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, we
got the analyzed trend and the major factors that affect the box office. The
findings provide reference for movie producer to manipulate the WOMs. |
| 中文關鍵字(Keyword) | |
| KEYWORD | Box Office, Film Industry, Forecast, Text Mining, WOM |
| 卷期(Volume No) | |
| 頁數(Page number) | |
| 年份(Year) | 2012 |
| 語言(Language) | 英文 English |