Sentiment-property extraction using Korean syntactic features

Won Hee Yu, Yeongwook Yang, Ki Nam Park, Heuiseok Lim

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Since Korean sentence structure generally has a predicate expressing a sentiment at the end, it is necessary to find out the correct property the predicate explains in a sentence. This study presents a sentiment-property extraction model that can reflect the features of the Korean syntax to find out a correct sentiment-property pair. The model uses a Korean parser to find out the property word dependent on a possible sentiment word in the parsed sentence and extracts the two words to make a sentiment-property pair when they are likely to form a pair. The test set yielded a precision ratio of 93% and recall ratio of 75%.

Original languageEnglish
Title of host publicationFuture Information Technology, Application, and Service, FutureTech 2012
Number of pages8
EditionVOL. 2
Publication statusPublished - 2012
Event7th FTRA International Conference on Future Information Technology, FutureTech 2012 - Vancouver, BC, Canada
Duration: 2012 Jun 262012 Jun 28

Publication series

NameLecture Notes in Electrical Engineering
NumberVOL. 2
Volume179 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119


Other7th FTRA International Conference on Future Information Technology, FutureTech 2012
CityVancouver, BC


  • Korean
  • extraction
  • parser
  • sentiment

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering


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