Generating an Event Arrangement for Understanding News Articles on the Web
We propose a new event arrangement system for Web news browsing based on analyzing past news articles related to the browsing- targeted article. Since relevant events are important for understanding news articles, we propose an event arrangement system based on mak- ing a connection between the relevant events and providing sequences of those events. When a user chooses an event from candidate events extracted on the basis of time series and important words, the system generates other events related to the chosen one. The system enables a user to find topic sequences suiting one’s interest and to closely under- stand news articles.