A Proposal of a Topic Transition Analysis System for Tweets

Abstract

In this paper, we propose an interactive system to represent the transition of topics extracted from documents that are generated in chronological order, such as tweets. Many of methods, extracting and visualizing topic transitions in documents generated along the time series aim to show an overview. We implement a system, reorganizing and visualizing topic transitions based on keywords designated by a user, providing interfaces to read the original documents for user to support analyzing topic transitions.