Title :
Identifying Opinion Holders in Opinion Text from Online Newspapers
Author :
Kim, Youngho ; Jung, Yuchul ; Myaeng, Sung-Hyon
Author_Institution :
Inf. & Commun. Univ., Seoul
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;
Conference_Titel :
Granular Computing, 2007. GRC 2007. IEEE International Conference on
Conference_Location :
Fremont, CA
Print_ISBN :
978-0-7695-3032-1
DOI :
10.1109/GrC.2007.45
