Finding Indicators of Epidemiological Events by Analyzing Messages from Twitter and Other Social Media

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F11%3APU96195" target="_blank" >RIV/00216305:26230/11:PU96195 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Finding Indicators of Epidemiological Events by Analyzing Messages from Twitter and Other Social Media
Original language description
This paper deals with early detection of epidemiological events by means of text-based analysis on social networks data. We introduce a novel system that processes streams from Twitter, blogs and discussion fora, automatically categorizes messages according to various criteria and extracts data potentially relevant for public health-related events. A special attention is paid to the analysis of Twitter data. We quantify the data processed every day and show that many obstacles need to be overcome to fully realize the potential of the valuable resource.
Czech name
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Czech description
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Project
<a href="/en/project/7E10054" target="_blank" >7E10054: Medical EcoSystem-Personalized Event-Based Suveillance</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
20th ACM Conference on Information and Knowledge Management workshop proceedings by ACM
ISBN
978-1-4503-0950-9
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
1-4
Publisher name
Association for Computing Machinery
Place of publication
Glasgow
Event location
Glasgow
Event date
Oct 24, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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