Text analysis tool Tweet locator - TAT2
Authors:
- Adam Flizikowski,
- Marcin Przybyszewski,
- Anna Stachowicz,
- Tomasz Olejniczak,
- Rafał Renk
Abstract
Information about location and geographical coordinates in particular, may be very important during a crisis event, especially for search and rescue operations - but currently geo-tagged tweets are extremely rare. Improved capabilities of capturing additional location from Twitter (up to 4 times improvement) are crucial for response efforts given a vast amount of messages exchanged during a crisis event. That is why authors have designed a tool (Text Analysis TWeet lOcator - TAT2) that relies on existing open source text analysis tools with additional services to provide additional hints about people location. Validation process, complementing experimentation and test results, included involvement of end-users (i.e. Public Protection and Disaster Relief services and citizens during a realistic crisis exercise showcase. In addition, the integration of TAT2 with external tools has also been validated.
- Record ID
- UAM9d3c92def92544af946f0fa55084dbd6
- Author
- Journal series
- ISCRAM 2015 Conference Proceedings - 12th International Conference on Information Systems for Crisis Response and Management
- Issue year
- 2015
- Vol
- 2015-January
- Pages
- 171-181
- Language
- (en) English
- Score (nominal)
- 0
- Score source
- journalList
- Score
- Publication indicators
- = 1
- Uniform Resource Identifier
- https://researchportal.amu.edu.pl/info/article/UAM9d3c92def92544af946f0fa55084dbd6/
- URN
urn:amu-prod:UAM9d3c92def92544af946f0fa55084dbd6
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