Conference paper

OTRUSINA Lubomír and SMRŽ Pavel. Finding Indicators of Epidemiological Events by Analyzing Messages from Twitter and Other Social Media. In: 20th ACM Conference on Information and Knowledge Management workshop proceedings by ACM. Glasgow: Association for Computing Machinery, 2011, p. 4. ISBN 978-1-4503-0950-9.
Publication language:english
Original title:Finding Indicators of Epidemiological Events by Analyzing Messages from Twitter and Other Social Media
Title (cs):Hledání indikátorů epidemiologických událostí na Twitteru a dalších sociálních sítí
Pages:4
Proceedings:20th ACM Conference on Information and Knowledge Management workshop proceedings by ACM
Conference:ACM Conference on Information and Knowledge Management
Place:Glasgow, GB
Year:2011
ISBN:978-1-4503-0950-9
Publisher:Association for Computing Machinery
Keywords
social media analysis, Twitter messages, public-health events
Annotation
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.
BibTeX:
@INPROCEEDINGS{
   author = {Lubom{\'{i}}r Otrusina and Pavel Smr{\v{z}}},
   title = {Finding Indicators of Epidemiological Events by Analyzing
	Messages from Twitter and Other Social Media},
   pages = {4},
   booktitle = {20th ACM Conference on Information and Knowledge Management
	workshop proceedings by ACM},
   year = {2011},
   location = {Glasgow, GB},
   publisher = {Association for Computing Machinery},
   ISBN = {978-1-4503-0950-9},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=9810}
}

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