DocumentCode
2388144
Title
Identifying Opinion Holders in Opinion Text from Online Newspapers
Author
Kim, Youngho ; Jung, Yuchul ; Myaeng, Sung-Hyon
Author_Institution
Inf. & Commun. Univ., Seoul
fYear
2007
fDate
2-4 Nov. 2007
Firstpage
699
Lastpage
699
Abstract
We propose an anaphor resolution based opinion holder identification method exploiting lexical and syntactic information. We tested our approach on online news documents and obtained 72.22% and 69.89% in accuracy for the task of non-anaphoric opinion holder resolution and the task of anaphoric opinion holder identification, respectively.
Keywords
electronic publishing; information retrieval; text analysis; anaphor resolution based opinion holder identification method; online news documents; online newspapers; opinion text; Entropy; Finishing; Frequency estimation; Helium; Probability; Statistical learning; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing, 2007. GRC 2007. IEEE International Conference on
Conference_Location
Fremont, CA
Print_ISBN
978-0-7695-3032-1
Type
conf
DOI
10.1109/GrC.2007.45
Filename
4403190
Link To Document