Abstract
The rise of movie streaming services has led to changes in viewing styles and viewer needs. In light of these changes, it would be useful to identify the common elements among movies that are highly praised on these platforms and, ultimately, to establish guidelines to facilitate movie production for this new environment. In this study, we performed text mining of movie reviews to this end. Further, through comparison with the elements common in poorly rated movies, we increased the reliability of our analytical results.
| Original language | English |
|---|---|
| Pages (from-to) | 49-58 |
| Number of pages | 10 |
| Journal | International Journal of Asia Digital Art and Design |
| Volume | 25 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2021 |
All Science Journal Classification (ASJC) codes
- Computer Graphics and Computer-Aided Design
- Computer Networks and Communications
- Artificial Intelligence
- Software
- Visual Arts and Performing Arts
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