Title

Recommending highlights in Anime movies: Mining the real-time user comments 'DanMaKu'

Authors

Yifan He, Wenzhou-Kean University
Tiffany Y. Tang, Wenzhou-Kean University

Document Type

Conference Proceeding

Publication Date

7-2-2017

Abstract

DanMaKu is the real-time interactive comments showing overlay on a web video. Such DanMaKu websites are popular in Asia, especially in Japan and China. In this paper, an analysis of nine Japanese Anime movies based on DanMaKu counts will be presented. Highlight moments and key sentences of each movie are selected based on the analysis of DanMaKu counts. An experiment is designed to test the effect of the selected highlight moments and key sentences.

Publication Title

2017 Intelligent Systems Conference, IntelliSys 2017

First Page Number

319

Last Page Number

322

DOI

10.1109/IntelliSys.2017.8324311

Recommended Citation

He, Yifan and Tang, Tiffany Y., "Recommending highlights in Anime movies: Mining the real-time user comments 'DanMaKu'" (2017). Kean Publications. 1599.
https://digitalcommons.kean.edu/keanpublications/1599