@inproceedings{5aaa6206e4a84446aced116a1221dcce,
title = "Sentiment-property extraction using Korean syntactic features",
abstract = "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%.",
keywords = "Korean, extraction, parser, sentiment",
author = "Yu, {Won Hee} and Yeongwook Yang and Park, {Ki Nam} and Heuiseok Lim",
year = "2012",
doi = "10.1007/978-94-007-5064-7_4",
language = "English",
isbn = "9789400750630",
series = "Lecture Notes in Electrical Engineering",
number = "VOL. 2",
pages = "23--30",
booktitle = "Future Information Technology, Application, and Service, FutureTech 2012",
edition = "VOL. 2",
note = "7th FTRA International Conference on Future Information Technology, FutureTech 2012 ; Conference date: 26-06-2012 Through 28-06-2012",
}