최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기정보과학회논문지. Journal of KIISE. 소프트웨어 및 응용, v.37 no.12, 2010년, pp.946 - 950
Many sentiment categorization systems based on machine learning methods use morphological analyzers in order to extract linguistic features from sentences. However, the morphological analyzers do not generally perform well in a customer review domain because online customer reviews include many spac...
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J. Hwang and Y. Ko, "A Korean Document Sentiment Classification System based on Semantic Properties of Sentirnent Words," Journal of KIISE : Software and Applications, vol.37, no.4, pp.317-322, Apr. 2010. (in Korean)
H. Yune, H. Kim and J. Chang, "An Efficient Search Method of Product Reviews using Opinion Mining Techniques," Journal of KIISE : Computing Practices and Letter, vol.16, no.2, pp.222-226, Feb. 2010. (in Korean)
J. Myung, D. Lee and S. Lee, "A Korean Product Review Analysis System using a Semi-Automatically Constructed Semantic Dictionary," Journal of KIISE : Software and Applications, vol.35, no.6, pp.392-403, Jun. 2008. (in Korean)
J. Shin, J. Lee and H. Kim, "Sentiment Categorization of Korean Customer Reviews using CRFs," Proc. HCLT(Human & Cognitive Language Technology) vol.20, no. 1(C), pp.58-62, 2008. (in Korean)
M. Bae and J. Cha "Comments Classification System using Topic Signature," Journal of KIISE Sofrware and Applications, vol.35, no.12, pp.774- 779, Dec. 2008. (in Korean)
A. Esuli, F. Sebastiani, "PageRanking WordNet Synsets: An Application to Opinion Mining," In Proceedings of the ACL, pp.424-431, 2007.
S.M. Kim and E. Hovy, "Determining the Sentiment of Opinions," In Proceedings of the COLING conference, pp.1367-1373, 2004.
http:νwww.sejong.or.kr
http://shopping.naver.com
B. Pang, L. Lee and S. Vaithyanathan, "Thumbs up? Sentirnent CIassification Using Machine Learning Techniques," In Proceedings od the EMNLP, pp.79-86, 2002.
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