| Issue |
E3S Web of Conf.
Volume 388, 2023
The 4th International Conference of Biospheric Harmony Advanced Research (ICOBAR 2022)
|
|
|---|---|---|
| Article Number | 02002 | |
| Number of page(s) | 4 | |
| Section | Big Data, Green Computing, and Information System | |
| DOI | https://doi.org/10.1051/e3sconf/202338802002 | |
| Published online | 17 May 2023 | |
Time Series Model to Predict Future Popular Animes Genres in 2025
Computer Science Department, Faculty of Computing and Media, 11480 Bina Nusantara University, Indonesia
* Corresponding author: nathanael.setiawan001@binus.ac.id
Abstract Anime is a form of animated media originating from Japan, where it is mostly characterized by its unique style and is exclusively made in Japan. In the current digital era, anime is now very prevalent not only for Japanese consumers, but the entire world. With this much relevance behind anime, this paper proposes some observations of genres which trend over time. This is mostly to help creative teams behind anime studios to appeal to international audiences in the near future using the Prophet time-series. The resulting model has been evaluated with an RMSE of 1.102 and a MAPE of 13.551%. The model predicts that the genres Super Power, Demons, and Supernatural will trend upwards, while the genres Josei, Cars, and Kids will trend downwards into the year 2025.
© The Authors, published by EDP Sciences, 2023
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