Jasmine

A real-time local-event detection system based on geolocation information propagated to microblogs

Kazufumi Watanabe, Masanao Ochi, Makoto Okabe, Rikio Onai

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

122 Citations (Scopus)

Abstract

We propose a system for detecting local events in the real-world using geolocation information from microblog documents. A local event happens when people with a common purpose gather at the same time and place. To detect such an event, we identify a group of Twitter documents describing the same theme that were generated within a short time and a small geographic area. Timestamps and geotags are useful for finding such documents, but only 0.7% of documents are geotagged and not sufficient for this purpose. Therefore, we propose an automatic geotagging method that identifies the location of non-geotagged documents. Our geotagging method successfully increased the number of geographic groups by about 115 times. For each group of documents, we extract co-occurring terms to identify its theme and determine whether it is about an event. We subjectively evaluated the precision of our detected local events and found that it had 25.5% accuracy. These results demonstrate that our system can detect local events that are difficult to identify using existing event detection methods. A user can interactively specify the size of a desired event by manipulating the parameters of date, area size, and the minimum number of Twitter users associated with the location. Our system allows users to enjoy the novel experience of finding a local event happening near their current location in real time.

Original languageEnglish
Title of host publicationCIKM'11 - Proceedings of the 2011 ACM International Conference on Information and Knowledge Management
Pages2541-2544
Number of pages4
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event20th ACM Conference on Information and Knowledge Management, CIKM'11 - Glasgow
Duration: 2011 Oct 242011 Oct 28

Other

Other20th ACM Conference on Information and Knowledge Management, CIKM'11
CityGlasgow
Period11/10/2411/10/28

Fingerprint

Event detection
Twitter

Keywords

  • event detection
  • microblogs

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Business, Management and Accounting(all)

Cite this

Watanabe, K., Ochi, M., Okabe, M., & Onai, R. (2011). Jasmine: A real-time local-event detection system based on geolocation information propagated to microblogs. In CIKM'11 - Proceedings of the 2011 ACM International Conference on Information and Knowledge Management (pp. 2541-2544) https://doi.org/10.1145/2063576.2064014

Jasmine : A real-time local-event detection system based on geolocation information propagated to microblogs. / Watanabe, Kazufumi; Ochi, Masanao; Okabe, Makoto; Onai, Rikio.

CIKM'11 - Proceedings of the 2011 ACM International Conference on Information and Knowledge Management. 2011. p. 2541-2544.

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

Watanabe, K, Ochi, M, Okabe, M & Onai, R 2011, Jasmine: A real-time local-event detection system based on geolocation information propagated to microblogs. in CIKM'11 - Proceedings of the 2011 ACM International Conference on Information and Knowledge Management. pp. 2541-2544, 20th ACM Conference on Information and Knowledge Management, CIKM'11, Glasgow, 11/10/24. https://doi.org/10.1145/2063576.2064014
Watanabe K, Ochi M, Okabe M, Onai R. Jasmine: A real-time local-event detection system based on geolocation information propagated to microblogs. In CIKM'11 - Proceedings of the 2011 ACM International Conference on Information and Knowledge Management. 2011. p. 2541-2544 https://doi.org/10.1145/2063576.2064014
Watanabe, Kazufumi ; Ochi, Masanao ; Okabe, Makoto ; Onai, Rikio. / Jasmine : A real-time local-event detection system based on geolocation information propagated to microblogs. CIKM'11 - Proceedings of the 2011 ACM International Conference on Information and Knowledge Management. 2011. pp. 2541-2544
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