Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-35728-2_55
Title: NExT-Live: A live observatory on social media
Authors: Luan, H. 
Hou, D.
Chua, T.-S. 
Keywords: Live
Monitoring
NExT
Observatory
Social media
UGC
Issue Date: 2013
Source: Luan, H.,Hou, D.,Chua, T.-S. (2013). NExT-Live: A live observatory on social media. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7733 LNCS (PART 2) : 514-516. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-35728-2_55
Abstract: This demonstration presents a live observatory system named 'NExTLive'. It aims to analyze live online social media data to mine social phenomena, senses, influences and geographic trends dynamically. It builds an efficient and robust set of crawlers to continually crawl online social interactions on various social networking sites, covering contents from different facets and in different medium types. It then performs analysis to fuse these social media data to generate analytics at different levels. In particular, it researches into high-level analytics to mine senses of different target entitles, including People Sense, Location Sense, Topic Sense and Organization Sense. NExT-Live provides a live observatory platform that enables people to know the happenings of the place in order to lead better life. © Springer-Verlag 2013.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/78254
ISBN: 9783642357275
ISSN: 03029743
DOI: 10.1007/978-3-642-35728-2_55
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