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Exploiting geolocation, user and temporal information for natural hazards monitoring in Twitter
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Fresno, Víctor, Zubiaga, Arkaitz, Ji, Heng and Martínez, Raquel (2015) Exploiting geolocation, user and temporal information for natural hazards monitoring in Twitter. Procesamiento del Lenguaje Natural, 54 . pp. 85-92.
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WRAP_1373353-cs-070316-pln2015-tweet-monitoring.pdf - Accepted Version Embargoed item. Restricted access to Repository staff only - Requires a PDF viewer. Download (305Kb) |
Official URL: http://journal.sepln.org/sepln/ojs/ojs/index.php/p...
Abstract
During emergency situation events it is important to acquire as much information about the event as possible, and social media sites like Twitter offer important real-time user contributed data. Typical Information Filtering techniques are keyword-based approaches or focused on co-occurrence with keywords. However, this approximations can lose relevant local information if messages do not contain an initially considered event-related keyword. Considering geolocation, user and temporal information within a pseudo-relevance feedback approach we can find event-related terminology but not co-occurring with initially considered keywords. Thus, taking into account the temporal aspect we can modify a query expansion function like Kullback-Leibler divergence in order to improve the Information Filtering process. The proposals has been evaluated in two datasets of real-world events obtaning encouraging results.
| Item Type: | Journal Article | ||||||
|---|---|---|---|---|---|---|---|
| Subjects: | H Social Sciences > HM Sociology Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software |
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| Divisions: | Faculty of Science > Computer Science | ||||||
| Library of Congress Subject Headings (LCSH): | Social media -- Data processing, Natural disasters -- Data processing | ||||||
| Journal or Publication Title: | Procesamiento del Lenguaje Natural | ||||||
| Publisher: | Sociedad Espanola para el Procesamiento del Lenguaje Natural | ||||||
| ISSN: | 1135-5948 | ||||||
| Official Date: | 2015 | ||||||
| Dates: |
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| Date of first compliant deposit: | 16 March 2016 | ||||||
| Volume: | 54 | ||||||
| Page Range: | pp. 85-92 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Open Access | ||||||
| Funder: | Spain. Ministerio de Ciencia e Innovación (MICINN), U.S. Army Research Laboratory (ARL) | ||||||
| Grant number: | TIN2013- 46616-C2-2-R (MICINN), 2012V/PUNED/0004 (MICINN), W911NF-09-2-0053 (ARL) | ||||||
| Open Access Version: |
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