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

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

4

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"
}