Complex Event Summarization Using Multi-Social Attribute Correlation (Extended Abstract)

Complex social event summarization is a problem which has been important for real-world applications, including crisis management, rumor control and government policy tracking. However, in many critical situations, social events are complex and context-sensitive, which demands the online summarization of social events in an integrated manner. Motivated by this, we propose an online complex social event summarization approach, namely SOMA, which summarizes the complex social events over multiple attributes including media content and contexts simultaneously. The evaluation shows that our proposed approach outperforms the existing solutions for event summarizaiton in terms of effectiveness and efficiency.