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Description
  • The paper investigates a problem connected with automatic analysis of sentiment (opinion) in textual natural-language documents. The initial situation works on the assumption that a user has many documents centered around a certain topic with different opinions of it. The user wants to pick out only relevant documents that represent a certain sentiment -- for example, only positive reviews of a certain subject. Having not too many typical patterns of the desired document type, the user needs a tool that can collect documents which are similar to the patterns. The suggested procedure is based on computing the similarity degree between patterns and unlabeled documents, which are then ranked according to their similarity to the patterns. The similarity is calculated as a distance between patterns and unlabeled items. The results are shown for publicly accessible downloaded real-world data in two languages, English and Czech.
  • The paper investigates a problem connected with automatic analysis of sentiment (opinion) in textual natural-language documents. The initial situation works on the assumption that a user has many documents centered around a certain topic with different opinions of it. The user wants to pick out only relevant documents that represent a certain sentiment -- for example, only positive reviews of a certain subject. Having not too many typical patterns of the desired document type, the user needs a tool that can collect documents which are similar to the patterns. The suggested procedure is based on computing the similarity degree between patterns and unlabeled documents, which are then ranked according to their similarity to the patterns. The similarity is calculated as a distance between patterns and unlabeled items. The results are shown for publicly accessible downloaded real-world data in two languages, English and Czech. (en)
Title
  • Automatic Sentiment Analysis Using the Textual Pattern Content Similarity in Natural Language
  • Automatic Sentiment Analysis Using the Textual Pattern Content Similarity in Natural Language (en)
skos:prefLabel
  • Automatic Sentiment Analysis Using the Textual Pattern Content Similarity in Natural Language
  • Automatic Sentiment Analysis Using the Textual Pattern Content Similarity in Natural Language (en)
skos:notation
  • RIV/62156489:43110/10:00159734!RIV11-MSM-43110___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6215648904)
http://linked.open...iv/cisloPeriodika
  • 1
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
  • 248201
http://linked.open...ai/riv/idVysledku
  • RIV/62156489:43110/10:00159734
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • textual patterns; natural language; textual document similarity; similarity ranking; sentiment/opinion analysis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV
  • [02136EC87B13]
http://linked.open...i/riv/nazevZdroje
  • Lecture Notes in Artificial Intelligence
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 6231
http://linked.open...iv/tvurceVysledku
  • Žižka, Jan
  • Dařena, František
http://linked.open...ain/vavai/riv/wos
  • 288619400029
http://linked.open...n/vavai/riv/zamer
issn
  • 0302-9743
number of pages
http://localhost/t...ganizacniJednotka
  • 43110
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