Enable tweet-geolocation and don’t drive ERTs crazy!
Enable tweet-geolocation and don’t drive ERTs crazy! Improving situational awareness using Twitter Juan Sixto, Oscar Peña, Bernhard Klein and Diego López-de-Ipiña DeustoTech−Deusto Institute of Technology, University of Deusto SMERST 2013. University of Warwick, Coventry UK
Motivations ● SABESS Project ● Social Networks provide high availability compared to traditional communication services. ● People usually tend to post more often than alerting ERTs. ● Easy to automate the incoming data (programmatic analysis)http://www.flickr.com/photos/wiertz/8553028974
Why Twitter ? Advantages ● Very popular communication tool (>175M/day tweets and 200M users) ● De-facto tool for broadcasting news ● Real-time information Drawbacks ● Short posts (140 characters max) ● Much noise in the Twitterversehttp://www.flickr.com/photos/usnavy/8154906115/
Extracting relevant information ● What? ● Incidents filtered by keywords + context ● Where? ● User profiles location ● Geo-tagged tweets ● NER System (Named Entity Recognition) http://www.flickr.com/photos/rosauraochoa/3283888598/
Noise Reduction ● Slang Cleaner ● Stop Words ● Hashtags ● URLsOh My God, being woken up to a car on #fire right outside my window, only in #Springfield!. ttp://bitly.com/16KWmdM ● Mentions http://www.flickr.com/photos/rarebeasts/4468517649/
Noise ReductionOh My God, being woken up to a car on #fire right outside my window, only in #Springfield!. http://bitly.com/16KWmdM ● Slang CleanerGod, woken car #fire window, #Springfield!. http://bitly.com/16KWmdM ● Stop Words ● HashtagsGod, woken car fire window, Springfield!. ● URLshttp://bitly.com/16KWmdM ● MentionsGod, woken car fire window, Springfield!. http://www.flickr.com/photos/rarebeasts/4468517649/
Noise ReductionGod, woken car fire window, Springfield!. ● Slang Cleaner ● Stop Words NER Analyser ● Hashtags ● URLs ● Mentions Springfield [LOCATION]. http://www.flickr.com/photos/rarebeasts/4468517649/
Results ● NER Tool Comparison ● Geo-location API Comparisonhttp://www.flickr.com/photos/rosasay/4675053765/
Conclusions and Future Work ● Other Social Networks ● Improve Conversation Graphs ● Increase Accuracy http://www.flickr.com/photos/usnavy/8612336419
References F. Abel, C. Hauff, G. J. Houben, R. Stronkman, and K. Tao. Semantics+ filtering+ search=twitcident. exploring information in social web streams. In Proceedings of the 23rd ACM conferenceon Hypertext and social media, pages 285–294, 2012.S. Paradesi. Geotagging tweets using their content. In Proceedings of the Twenty-Fourth Interna-tional Florida Artificial Intelligence Research Society Conference, 2011.Jie Yin, A. Lampert, M. Cameron, B. Robinson, and R. Power. Using social media to enhanceemergency situation awareness. Intelligent Systems, IEEE, 27(6):52–59, December 2012.A. Ritter, S. Clark, and O. Etzioni. Named entity recognition in tweets: an experimental study.In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages1524–1534, 2011. http://www.flickr.com/photos/usnavy/8612336419
Enable tweet-geolocation and don’t drive ERTs crazy! Improving situational awareness using Twitter Juan Sixto Cesteros firstname.lastname@example.org @JuanSixtoC Juan Sixto, Oscar Peña, Bernhard Klein and Diego López-de-Ipiña DeustoTech−Deusto Institute of Technology, University of Deusto SMERST 2013. University of Warwick, Coventry UK
Enable tweet-geolocation and don’t drive ERTs crazy! Improving situational awareness using TwitterAll rights of images are reserved by the original owners*, the rest of the content is licensed under a Creative Commons by-sa 3.0 license. *See references in each slide
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