A Situation Evaluation System for Specific Events in Social Media

摘要

With the widespread use of social media, social networks have become an important information carrier and platform for users to explore the world. Social networks not only reflect the hot events in society but also influence the trends and evaluation of events through user network behaviors. In this paper, a situation evaluation system is established for social event trends. We use web crawlers to collect multi-source data for a series of events of interest to form a basic knowledge base, and based on this, we extract statistical data and language features. Then, we use the Analytic Hierarchy Process (AHP) algorithm to calculate the weight of important features that can capture the development of the event situation and establish a hot social event situation evaluation system. Finally, we apply this system and stream computing technology to achieve situational awareness of events in real-time.