About: Mining Textual Significant Expressions Reflecting Opinions in Natural Languages     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • Revealing an opinion hidden in a text document is a challenging task. The article presents a method based on the automatic extraction of expressions that are significant for specifying a document attitude to a given topic. The significant expressions are composed using revealed significant words in the documents. The significant words are selected by the c5 decision-tree generator based on the entropy minimization. Words included in branches represent kernels of the significant expressions. The full expressions are composed of the significant words and words surrounding them in the original documents. Such expressions provide much more information than individual (key-)words and can be used for analysing a document meaning and the cause of the opinion: what exactly the opinion deals with? The results are demonstrated using large real-world multilingual data representing customers' opinions written in a free form.
  • Revealing an opinion hidden in a text document is a challenging task. The article presents a method based on the automatic extraction of expressions that are significant for specifying a document attitude to a given topic. The significant expressions are composed using revealed significant words in the documents. The significant words are selected by the c5 decision-tree generator based on the entropy minimization. Words included in branches represent kernels of the significant expressions. The full expressions are composed of the significant words and words surrounding them in the original documents. Such expressions provide much more information than individual (key-)words and can be used for analysing a document meaning and the cause of the opinion: what exactly the opinion deals with? The results are demonstrated using large real-world multilingual data representing customers' opinions written in a free form. (en)
Title
  • Mining Textual Significant Expressions Reflecting Opinions in Natural Languages
  • Mining Textual Significant Expressions Reflecting Opinions in Natural Languages (en)
skos:prefLabel
  • Mining Textual Significant Expressions Reflecting Opinions in Natural Languages
  • Mining Textual Significant Expressions Reflecting Opinions in Natural Languages (en)
skos:notation
  • RIV/62156489:43110/11:00180511!RIV12-MSM-43110___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6215648904)
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
  • 212634
http://linked.open...ai/riv/idVysledku
  • RIV/62156489:43110/11:00180511
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • machine learning; natural languages; significant words; decision tree; text mining; opinion analysis; significant expressions (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [C7BA04A892EE]
http://linked.open...v/mistoKonaniAkce
  • Córdoba
http://linked.open...i/riv/nazevZdroje
  • Intelligent Systems Design and Applications
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Žižka, Jan
  • Dařena, František
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE
https://schema.org/isbn
  • 978-1-4577-1675-1
http://localhost/t...ganizacniJednotka
  • 43110
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 100 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software