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Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F12%3A10130104%21RIV13-GA0-11320___
rdf:type
n5:Vysledek skos:Concept
rdfs:seeAlso
http://dl.acm.org/citation.cfm?id=2254208&preflayout=tabs
dcterms:description
This paper presents initial research in the area of sentiment analysis in Czech. We will describe a method for annotating Czech evaluative structures and analyze existing results for both manual and automatic annotation of the plain text data which represents the basis for further subjectivity clues learning. This paper presents initial research in the area of sentiment analysis in Czech. We will describe a method for annotating Czech evaluative structures and analyze existing results for both manual and automatic annotation of the plain text data which represents the basis for further subjectivity clues learning.
dcterms:title
Sentence-Level Sentiment Analysis in Czech Sentence-Level Sentiment Analysis in Czech
skos:prefLabel
Sentence-Level Sentiment Analysis in Czech Sentence-Level Sentiment Analysis in Czech
skos:notation
RIV/00216208:11320/12:10130104!RIV13-GA0-11320___
n5:predkladatel
n11:orjk%3A11320
n3:aktivita
n19:S n19:P
n3:aktivity
P(GD201/09/H057), S
n3:dodaniDat
n12:2013
n3:domaciTvurceVysledku
n15:9963464
n3:druhVysledku
n23:D
n3:duvernostUdaju
n16:S
n3:entitaPredkladatele
n10:predkladatel
n3:idSjednocenehoVysledku
167469
n3:idVysledku
RIV/00216208:11320/12:10130104
n3:jazykVysledku
n22:eng
n3:klicovaSlova
czech; analysis; sentiment; level; sentence
n3:klicoveSlovo
n4:level n4:sentence n4:czech n4:analysis n4:sentiment
n3:kontrolniKodProRIV
[16A7DDD498EF]
n3:mistoKonaniAkce
Craiova, Romania
n3:mistoVydani
New York, NY, USA
n3:nazevZdroje
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
n3:obor
n14:IN
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
1
n3:projekt
n13:GD201%2F09%2FH057
n3:rokUplatneniVysledku
n12:2012
n3:tvurceVysledku
Veselovská, Kateřina
n3:typAkce
n18:CST
n3:zahajeniAkce
2012-06-13+02:00
s:numberOfPages
4
n17:doi
10.1145/2254129.2254208
n21:hasPublisher
ACM
n6:isbn
978-1-4503-0915-8
n24:organizacniJednotka
11320