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OTRUSINA, L. SMRŽ, P.
Original Title
Finding Indicators of Epidemiological Events by Analyzing Messages from Twitter and Other Social Media
Type
article in a collection out of WoS and Scopus
Language
English
Original 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.
Keywords
social media analysis, Twitter messages, public-health events
Authors
OTRUSINA, L.; SMRŽ, P.
RIV year
2011
Released
29. 10. 2011
Publisher
Association for Computing Machinery
Location
Glasgow
ISBN
978-1-4503-0950-9
Book
20th ACM Conference on Information and Knowledge Management workshop proceedings by ACM
Pages from
1
Pages to
4
Pages count
BibTex
@inproceedings{BUT76491, author="Lubomír {Otrusina} and Pavel {Smrž}", title="Finding Indicators of Epidemiological Events by Analyzing Messages from Twitter and Other Social Media", booktitle="20th ACM Conference on Information and Knowledge Management workshop proceedings by ACM", year="2011", pages="1--4", publisher="Association for Computing Machinery", address="Glasgow", isbn="978-1-4503-0950-9" }