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Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F11%3A10107959%21RIV12-GA0-11320___
rdf:type
skos:Concept n11:Vysledek
dcterms:description
The paper presents a preliminary research on possible relations between the syntactic structure and the polarity of a Czech sentence by means of the so-called sentiment analysis of a computer corpus. The main goal of sentiment analysis is the detection of a positive or negative polarity, or neutrality of a sentence (or, more broadly, a text). Most often this process takes place by looking for the polarity items, i.e. words or phrases inherently bearing positive or negative values. These words (phrases) are collected in the subjectivity lexicons and implemented into a computer corpus. However, when using sentences as the basic units to which sentiment analysis is applied, it is always important to look at their semantic and morphological analysis, since polarity items may be influenced by their morphological context. It is expected that some syntactic (and hypersyntactic) relations are useful for the identification of sentence polarity, such as negation, discourse relations or the level of embeddedness The paper presents a preliminary research on possible relations between the syntactic structure and the polarity of a Czech sentence by means of the so-called sentiment analysis of a computer corpus. The main goal of sentiment analysis is the detection of a positive or negative polarity, or neutrality of a sentence (or, more broadly, a text). Most often this process takes place by looking for the polarity items, i.e. words or phrases inherently bearing positive or negative values. These words (phrases) are collected in the subjectivity lexicons and implemented into a computer corpus. However, when using sentences as the basic units to which sentiment analysis is applied, it is always important to look at their semantic and morphological analysis, since polarity items may be influenced by their morphological context. It is expected that some syntactic (and hypersyntactic) relations are useful for the identification of sentence polarity, such as negation, discourse relations or the level of embeddedness
dcterms:title
Sentence-Level Polarity Detection in a Computer Corpus Sentence-Level Polarity Detection in a Computer Corpus
skos:prefLabel
Sentence-Level Polarity Detection in a Computer Corpus Sentence-Level Polarity Detection in a Computer Corpus
skos:notation
RIV/00216208:11320/11:10107959!RIV12-GA0-11320___
n11:predkladatel
n13:orjk%3A11320
n5:aktivita
n14:S n14:P
n5:aktivity
P(GD201/09/H057), S
n5:dodaniDat
n9:2012
n5:domaciTvurceVysledku
n19:9963464
n5:druhVysledku
n20:D
n5:duvernostUdaju
n10:S
n5:entitaPredkladatele
n8:predkladatel
n5:idSjednocenehoVysledku
228870
n5:idVysledku
RIV/00216208:11320/11:10107959
n5:jazykVysledku
n17:eng
n5:klicovaSlova
corpus; computer; detection; polarity; level; sentence
n5:klicoveSlovo
n12:sentence n12:computer n12:level n12:corpus n12:polarity n12:detection
n5:kontrolniKodProRIV
[9A21BC65EDFE]
n5:mistoKonaniAkce
Praha, Czechia
n5:mistoVydani
Praha, Czechia
n5:nazevZdroje
WDS'11 Proceedings of Contributed Papers, Part I
n5:obor
n16:AI
n5:pocetDomacichTvurcuVysledku
1
n5:pocetTvurcuVysledku
1
n5:projekt
n21:GD201%2F09%2FH057
n5:rokUplatneniVysledku
n9:2011
n5:tvurceVysledku
Veselovská, Kateřina
n5:typAkce
n6:CST
n5:zahajeniAkce
2011-05-31+02:00
s:numberOfPages
4
n18:hasPublisher
Matfyzpress
n3:isbn
978-80-7378-184-2
n22:organizacniJednotka
11320