QT2S: A system for monitoring road traffic via fine grounding of tweets

Noora Al Emadi, Sofiane Abbar, Javier Borge-Holthoefer, Francisco Guzman, Fabrizio Sebastiani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Social media platforms provide continuous access to user generated content that enables real-time monitoring of user behavior and of events. The geographical dimension of such user behavior and events has recently caught a lot of attention in several domains: mobility, humanitarian, or infrastructural. While resolving the location of a user can be straightforward, depending on the affordances of their device and/or of the application they are using, in most cases, locating a user demands a larger effort, such as exploiting textual features. On Twitter for instance, only 2% of all tweets are geo-referenced. In this paper, we present a system for zoomed-in grounding (below city level) for short messages (e.g., tweets). The system combines different natural language processing and machine learning techniques to increase the number of geogrounded tweets, which is essential to many applications such as disaster response and real-time traffic monitoring.

Original languageEnglish
Title of host publicationProceedings of the 11th International Conference on Web and Social Media, ICWSM 2017
PublisherAAAI press
Pages456-459
Number of pages4
ISBN (Electronic)9781577357889
Publication statusPublished - 1 Jan 2017
Event11th International Conference on Web and Social Media, ICWSM 2017 - Montreal, Canada
Duration: 15 May 201718 May 2017

Other

Other11th International Conference on Web and Social Media, ICWSM 2017
CountryCanada
CityMontreal
Period15/5/1718/5/17

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ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Al Emadi, N., Abbar, S., Borge-Holthoefer, J., Guzman, F., & Sebastiani, F. (2017). QT2S: A system for monitoring road traffic via fine grounding of tweets. In Proceedings of the 11th International Conference on Web and Social Media, ICWSM 2017 (pp. 456-459). AAAI press.