DocumentCode
2972723
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
fYear
2013
fDate
13-14 June 2013
Firstpage
1
Lastpage
5
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;
fLanguage
English
Publisher
ieee
Conference_Titel
ICT for Smart Society (ICISS), 2013 International Conference on
Conference_Location
Jakarta
Print_ISBN
978-1-4799-0143-2
Type
conf
DOI
10.1109/ICTSS.2013.6588106
Filename
6588106
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