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Statements

Subject Item
n2:RIV%2F00216305%3A26230%2F11%3APU96195%21RIV12-MSM-26230___
rdf:type
n16:Vysledek skos:Concept
dcterms: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.
dcterms: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
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
skos:notation
RIV/00216305:26230/11:PU96195!RIV12-MSM-26230___
n16:predkladatel
n17:orjk%3A26230
n4:aktivita
n10:P n10:Z
n4:aktivity
P(7E10054), Z(MSM0021630528)
n4:dodaniDat
n9:2012
n4:domaciTvurceVysledku
n5:1386492 n5:1574582
n4:druhVysledku
n6:D
n4:duvernostUdaju
n13:S
n4:entitaPredkladatele
n18:predkladatel
n4:idSjednocenehoVysledku
199766
n4:idVysledku
RIV/00216305:26230/11:PU96195
n4:jazykVysledku
n21:eng
n4:klicovaSlova
social media analysis, Twitter messages, public-health events
n4:klicoveSlovo
n8:social%20media%20analysis n8:public-health%20events n8:Twitter%20messages
n4:kontrolniKodProRIV
[88B0CD39B1BE]
n4:mistoKonaniAkce
Glasgow
n4:mistoVydani
Glasgow
n4:nazevZdroje
20th ACM Conference on Information and Knowledge Management workshop proceedings by ACM
n4:obor
n11:IN
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
2
n4:projekt
n23:7E10054
n4:rokUplatneniVysledku
n9:2011
n4:tvurceVysledku
Otrusina, Lubomír Smrž, Pavel
n4:typAkce
n15:WRD
n4:zahajeniAkce
2011-10-24+02:00
n4:zamer
n14:MSM0021630528
s:numberOfPages
4
n22:hasPublisher
Association for Computing Machinery
n20:isbn
978-1-4503-0950-9
n19:organizacniJednotka
26230