Publication detail

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

OTRUSINA, L. SMRŽ, P.

Original Title

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

English Title

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

Type

conference paper

Language

en

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.

English 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

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

Edition

NEUVEDEN

Edition number

NEUVEDEN

Pages from

1

Pages to

4

Pages count

4

Documents

BibTex


@inproceedings{BUT76491,
  author="Lubomír {Otrusina} and Pavel {Smrž}",
  title="Finding Indicators of Epidemiological Events by Analyzing Messages from Twitter and Other Social Media",
  annote="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.",
  address="Association for Computing Machinery",
  booktitle="20th ACM Conference on Information and Knowledge Management workshop proceedings by ACM",
  chapter="76491",
  edition="NEUVEDEN",
  howpublished="print",
  institution="Association for Computing Machinery",
  year="2011",
  month="october",
  pages="1--4",
  publisher="Association for Computing Machinery",
  type="conference paper"
}