A Supporting System for Situation Assessment using Text Data with Spatio-temporal Information

Abstract

Text data with spatio-temporal information are becoming common with the popularization of mobile phones with a GPS function and micro blog services like Twitter. This research proposes a system supporting operators who controls an area in real-world. Examples of operators are managers of a facility like theme park and operators in a disaster prevention center. Our system has three functions: (i) automatic classicification which classifies messages into a fixed category, (ii) clustering which aggregates similar messages and (iii) burst detection which detects an event in which messages are arising in high frequency. We asked 120 people to send text data with spatio-temporal information by mobile phones in the Expo memorial park. We evaluated our system using the above data.