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• W2405860507 abstract "The researches of sentiment analysis aim at exploring the emotional state of writers. The analysis highly depends on the application domains. Analyzing sentiments of the articles in different domains may have different results. In this study, we focus on corpora from three different domains in Traditional and Simplified Chinese, then examine the polarity degrees of vocabularies in these three domains, and propose methods to capture sentiment differences. Finally, we apply the results to sentiment classification with supervised SVM learning. The experiments show that the proposed methods can effectively improve the sentiment classification performance. ¬2B3/± …`B[ – ` μ ¶ Keywords: Document Sentiment Classification, Word Polarity Analysis, Machine Learning · 1o”»#B[TUB[‰Š`,fHTU()/±j …¢£*1⁄41⁄2j3⁄4? 1?AA>“”»# TFSO A TFIDF j £AA *l1Ž IDF ; SO XAE*C E1 TFSOIDF*? £EE*TFSOIDFES?IIH>I¢§ PIC*Ž £Eg#ЇN> @Oh TFSSIDF ES TFSOIDF*TFSDIDF ES TFIDF>O¢* Unigramj¢£A TFSSIDFDOO*TFSOIDF; TFSDIDFœ*AO1 TFIDF*;? IIJ>(×3TF: B[OA*IDF: U:/±OA*SO: PaU ©*SD: BC) š› TFIDF TFRF Delta TFSO TFSOIDF TFSDIDF TFSSIDF ]^_ 0.848 0.849 0.853 0.847 0.854 0.852 0.863 ab 0.916 0.906 0.914 0.915 0.924 0.918 0.923 cd 0.861 0.839 0.849 0.854 0.871 0.869 0.875 [1] Bo Pang and Lillian Lee, “Opinion Mining and Sentiment Analysis,” Foundations and Trends in Information Retrieval, vol. 2, issue 1-2, pp. 1-135, 2008. [2] Lun-Wei Ku and Hsin-Hsi Chen, “Mining Opinions from the Web: Beyond Relevance Retrieval,” Journal of American Society for Information Science and Technology, vol. 58, no. 12, pp. 1838-1850, 2007. [3] Man Lan, Sam-Yuan Sung, Hwee-Boon Low, and Chew-Lim Tan, ”A Comparative Study on Term Weighting Schemes for Text Categorization,” In Proceedings of 2005 IEEE International Joint Conference on Neural Networks, pp. 546-551, 2005. [4] Justin Martineau and Tim Finin, “Delta TFIDF: An Improved Feature Space for Sentiment Analysis,” In Proceedings of the Third AAAI International Conference on Weblogs and Social Media, pp. 258-261, 2009. Proceedings of the Twenty-Fourth Conference on Computational Linguistics and Speech Processing (ROCLING 2012)" @default.
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• W2405860507 date "2012-12-01" @default.
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• W2405860507 title "Domain dependent word polarity analysis for sentiment classification" @default.
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