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Description
  • This paper describes our submission to SemEval 2014 Task 41 (aspect based sentiment analysis). The current work is based on the assumption that it could be advantageous to connect the subtasks into one workflow, not necessarily following their given order. We took part in all four subtasks (aspect term extraction, aspect term polarity, aspect category detection, aspect category polarity), using polarity items detection via various subjectivity lexicons and employing a rule-based system applied on dependency data. To determine aspect categories, we simply look up their WordNet hypernyms. For such a basic method using no machine learning techniques, we consider the results rather satisfactory.
  • This paper describes our submission to SemEval 2014 Task 41 (aspect based sentiment analysis). The current work is based on the assumption that it could be advantageous to connect the subtasks into one workflow, not necessarily following their given order. We took part in all four subtasks (aspect term extraction, aspect term polarity, aspect category detection, aspect category polarity), using polarity items detection via various subjectivity lexicons and employing a rule-based system applied on dependency data. To determine aspect categories, we simply look up their WordNet hypernyms. For such a basic method using no machine learning techniques, we consider the results rather satisfactory. (en)
Title
  • ÚFAL: Using Hand-crafted Rules in Aspect Based Sentiment Analysis on Parsed Data
  • ÚFAL: Using Hand-crafted Rules in Aspect Based Sentiment Analysis on Parsed Data (en)
skos:prefLabel
  • ÚFAL: Using Hand-crafted Rules in Aspect Based Sentiment Analysis on Parsed Data
  • ÚFAL: Using Hand-crafted Rules in Aspect Based Sentiment Analysis on Parsed Data (en)
skos:notation
  • RIV/00216208:11320/14:10289429!RIV15-MSM-11320___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(LM2010013), S
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
  • 51714
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/14:10289429
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • data; parsed; analysis; sentiment; based; aspect; rules; crafted; hand; using; úfal (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [F66A1B52BF00]
http://linked.open...v/mistoKonaniAkce
  • Dublin, Ireland
http://linked.open...i/riv/mistoVydani
  • Dublin, Ireland
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the Eighth International Workshop on Semantic Evaluation (SemEval 2014)
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
  • Veselovská, Kateřina
  • Tamchyna, Aleš
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Dublin City University
https://schema.org/isbn
  • 978-1-937284-96-1
http://localhost/t...ganizacniJednotka
  • 11320
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