Detail publikačního výsledku

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

OTRUSINA, L.; SMRŽ, P.

Originální název

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

Anglický název

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

Druh

Stať ve sborníku mimo WoS a Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

social media analysis, Twitter messages, public-health events

Klíčová slova v angličtině

social media analysis, Twitter messages, public-health events

Autoři

OTRUSINA, L.; SMRŽ, P.

Rok RIV

2012

Vydáno

29.10.2011

Nakladatel

Association for Computing Machinery

Místo

Glasgow

ISBN

978-1-4503-0950-9

Kniha

20th ACM Conference on Information and Knowledge Management workshop proceedings by ACM

Strany od

1

Strany do

4

Strany počet

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"
}