Title :
Event detection in social media: A survey
Author :
Nurwidyantoro, Arif ; Winarko, Edi
Author_Institution :
Dept. of Comput. Sci. & Electron., Univ. Gadjah Mada, Yogyakarta, Indonesia
Abstract :
The emergence of social media open a lot of research opportunity. Information from social media could be used for many things, such as detecting event, predicting event, and even for early warning system. This paper describe topics related to analyzing social media for detecting four types of event, that is, disaster, traffic, outbreak, and news. Several approaches used to analyze social media data are also presented.
Keywords :
Internet; data analysis; data mining; disasters; social networking (online); Internet; data mining; disaster event detection; early warning system; event prediction; news event detection; outbreak event detection; social media data analysis; traffic event detection; Conferences; Event detection; Internet; Market research; Media; Real-time systems; Twitter; data mining; event detection; social media;
Conference_Titel :
ICT for Smart Society (ICISS), 2013 International Conference on
Conference_Location :
Jakarta
Print_ISBN :
978-1-4799-0143-2
DOI :
10.1109/ICTSS.2013.6588106
