論文

基本情報

氏名 橋本 隆子
氏名(カナ) ハシモト タカコ
氏名(英語) HASHIMOTO, Takako
所属 商経学部
職名 教授
researchmap研究者コード
researchmap機関

題名

Twitter Topic Progress Visualization using Micro-clustering

単著・共著の別

共著

概要

This paper proposes a method for visualizing the progress of a bursty topic on Twitter using a previously-proposed micro-clustering technique, which reveals the cause and the progress of a burst. Micro-clustering can efficiently represent sub-topics of a bursty topic, which allows visualizing transitions between these subtopics over time. This process allows for a Twitter user to see the origin of a bursty topic more easily. To show the method’s effectiveness, we conducted an experiment on a real bursty topic, a controversy over childcare leave in Japan. When we extract sub-topics using micro-clustering, and analyze micro-clusters over time, we can understand the progress of the target topic and discover the micro-clusters that caused the burst.

発行雑誌等の名称

Proc. of The 10th International Conference on Pattern Recognition Applications and Methods (ICPRAM),

巻・号・掲載ページ(移行用)

 

発行又は発表の年月

202003