Ebata m abst
- 1. 複合情報学専攻 修士論文 (2010 年 2 月 10 日) ユーザコメントの tf-idf 法による分析を用いた インタラクティブな関連動画の提示 複雑系工学講座 調和系工学研究室 修士 2 年 江端佑介 Interactive Suggestion of Related Videos by Analyzing Users' Comments Based on Tf-idf Scheme Research Group of Complex Systems Engineering Laboratory of Harmonious Systems Engineering MC2 Yusuke Ebata Abstract: These days video sharing site such as YouTube or NicoNico-Video is being popular. With that, studies using comments of videos are also paid more and more attention. In the information which we can give to videos such as a title and a tag, the comments are the only information which is given by the user who watched a video. So I can say that users' comments have some information about the contents of a video. In this study, I show the related videos for which comments of videos was used. Specifically, I regarded all comments of one video as one document, and calculated feature vector on every document. Furthermore, I synthesized feature vector of comments of some videos which a user watched, and defined that vector as a comment tendency vector. And I indicated the related video by calculating the similarity between a comment tendency vector and feature vector of a movie. 研究業績（査読付き学術論文，国際会議講演論文，国内講演論文等）： 1. 江端佑介，川村秀憲，鈴木恵二，” 研究業績の視覚化に向けた ExtJS と Google Chart による実装”， 情報処理北 海道シンポジウム 2009,平成 21 年 10 月.