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Description
  • 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.
  • 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. (en)
Title
  • Finding Indicators of Epidemiological Events by Analyzing Messages from Twitter and Other Social Media
  • Finding Indicators of Epidemiological Events by Analyzing Messages from Twitter and Other Social Media (en)
skos:prefLabel
  • Finding Indicators of Epidemiological Events by Analyzing Messages from Twitter and Other Social Media
  • Finding Indicators of Epidemiological Events by Analyzing Messages from Twitter and Other Social Media (en)
skos:notation
  • RIV/00216305:26230/11:PU96195!RIV12-MSM-26230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(7E10054), Z(MSM0021630528)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 199766
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/11:PU96195
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • social media analysis, Twitter messages, public-health events (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [88B0CD39B1BE]
http://linked.open...v/mistoKonaniAkce
  • Glasgow
http://linked.open...i/riv/mistoVydani
  • Glasgow
http://linked.open...i/riv/nazevZdroje
  • 20th ACM Conference on Information and Knowledge Management workshop proceedings by ACM
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Otrusina, Lubomír
  • Smrž, Pavel
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Association for Computing Machinery
https://schema.org/isbn
  • 978-1-4503-0950-9
http://localhost/t...ganizacniJednotka
  • 26230
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