There are many disaster that people can not predict, and the important to spread information about disaster on the site is increasing. therefore, in this thesis, I analyzed social network service for disaster information system and pointed the problem...
There are many disaster that people can not predict, and the important to spread information about disaster on the site is increasing. therefore, in this thesis, I analyzed social network service for disaster information system and pointed the problem that SNS is used only information notification.
The end result is fastest disaster information gathering and spreading using short message on twitter. Especially I studied methods to find disaster tweets from a lot of messages on twitter. In addition, I implementation mash-up system that can get disaster information using Twitter API and display on the map using Google map API.
This mash-up system is difference with other application that people have to disaster information using dedicated software. eventually, this study is not only propagation disaster conditions but information collection used crowd-sourcing on social network service.
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