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