Faculty of Information Technology, BUT

Publication Details

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

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.
Czech title
Hledání indikátorů epidemiologických událostí na Twitteru a dalších sociálních sítí
Type
conference paper
Language
english
Authors
Keywords
social media analysis, Twitter messages, public-health events
Abstract
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.
Published
2011
Pages
4
Proceedings
20th ACM Conference on Information and Knowledge Management workshop proceedings by ACM
Conference
ACM Conference on Information and Knowledge Management, Glasgow, GB
ISBN
978-1-4503-0950-9
Publisher
Association for Computing Machinery
Place
Glasgow, GB
BibTeX
@INPROCEEDINGS{FITPUB9810,
   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 = "https://www.fit.vut.cz/research/publication/9810"
}
Back to top