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From Smart Cities to Smart Neighborhoods: Detecting Local Events from Social Media

Authors: 

Yang Li, Alan Smeaton

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
There are several examples of work which uses data from so- cial media to detect events which occur in our real, physical world. Our target for event detection is to partition a large geographic region, a whole city in our case, into smaller dis- tricts based on geotagged Tweets and to detect smaller local events. We generate a language model for Tweets from each district and measure the KL divergence on incoming Tweets to detect outliers. When these reach a sizable volume or intensity and are consistent, this indicates an event within that district. We used Tweets drawn from Dublin city and we describe experiments on partitioning the city into dis- tricts and detecting local events within districts.
Conference Name: 
Information Access in Smart Cities (i-ASC)
Proceedings: 
Information Access in Smart Cities (i-ASC) 2014 Workshop in conjunction with ECIR 2014
Digital Object Identifer (DOI): 
10.NA
Publication Date: 
13/04/2014
Conference Location: 
Netherlands
Research Group: 
Institution: 
Dublin City University (DCU)
Open access repository: 
Yes