Institutions | About Us | Help | Gaeilge
rian logo


Mark
Go Back
From smart cities to smart neighborhoods: detecting local events from social media
Li, Yang; Smeaton, Alan F.
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 districts 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 districts and detecting local events within districts.
Keyword(s): Multimedia systems; Smart cities; Event detection; Twitter
Publication Date:
2014
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Li, Yang and Smeaton, Alan F. ORCID: 0000-0003-1028-8389 <https://orcid.org/0000-0003-1028-8389> (2014) From smart cities to smart neighborhoods: detecting local events from social media. In: Information Access in Smart Cities (i-ASC) 2014 Workshop in conjunction with ECIR 2014, 13 Apr 2014, Amsterdam, the Netherlands.
File Format(s): application/pdf
Related Link(s): http://doras.dcu.ie/19919/1/paper.pdf,
http://dcs.gla.ac.uk/workshops/iASC2014/
First Indexed: 2014-04-26 05:47:05 Last Updated: 2019-02-09 06:28:16