紀要論文

ユーザの興味とコメント分布によるニコニコ動画の分析

Analyzing Nico Nico Douga Videos by Using Users’ Interests and the Distribution of Comments

jpn

24321192

https://doi.org/10.15002/00023867

法政大学大学院情報科学研究科

法政大学大学院紀要. 情報科学研究科編

16

1

6

2021-03-24

Version of Record

Nico Nico Douga (NND) is one of the most famous social media platforms for sharing videos in Japan. There are 18 million videos posted to NND, for which users search by using keyword search and related video recommendation. However, it is difficult for the users to find interesting videos because videos generally are associated with only short texts and a few tags. In this paper, we present a method for analyzing videos in NND by using the distribution of time-synchronized comments. Our method regards a video as the set of the users’ comments on it and enables the clustering of videos based on the users’ shared interests. In our experiment, we applied the proposed method to videos posted to NND, and evaluated our method by quantitatively comparing it with existing text-based methods and by qualitatively performing the subjective evaluation of clustering results. In the result of the quantitative evaluation, the proposed method showed a higher score of normalized mutual information than the existing methods when category metadata were used as correct results. The experimental results of the qualitative evaluation showed that the proposed method was as good as or better than the existing text-based and image-based methods.

Article

AA12746425