Hatzivassiloglou V, McKeown K R. Predicting the Semantic Orientation of Adjectives // Proc of the 8th Conference on European Chapter of the Association for Computational Linguistics. Madrid, Spain, 1997: 174-181
[2]
Picard R W. Affective Computing. Cambridge, USA: MIT Press, 1997
[3]
Turney P. Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews // Proc of the 40th Annual Meeting of the Association for Computational Linguistics. Philadelphia, USA, 2002: 417-424
[4]
Kamps J, Marx M, Mokken R J, et al. Using WordNet to Measure Semantic Orientations of Adjectives // Proc of the 4th International Conference on Language Resources and Evaluation. Lisbon, Portugal, 2004: 1115-1118
[5]
Wilson T, Wiebe J, Hoffmann P. Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis // Proc of the Conference on Human Language Technology and Empirical Methods in Natural Language Processing. Vancouver, Canada, 2005: 347-354
[6]
Zhu Yanlan, Min Jin, Zhou Yaqian, et al. Semantic Orientation Computing Based on HowNet. Journal of Chinese Information Processing, 2006, 20(1): 14-20 (in Chinese) (朱嫣岚,闵 锦,周雅倩,等.基于HowNet的词汇语义倾向计算.中文信息学报,2006, 20(1), 14-20)
[7]
Yu H, Hatzivassiloglou V. Towards Answering Opinion Questions: Separating Facts from Opinions and Identifying the Polarity of Opinion Sentences // Proc of the Conference on Empirical Methods in Natural Language Processing. Sapporo, Japan, 2003: 129-136
[8]
Hu Minqing, Liu Bing. Mining and Summarizing Customer Reviews // Proc of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Seattle, USA, 2004: 168-177
[9]
Turney P, Littman M. Measuring Praise and Criticism: Inference of Semantic Orientation from Association. ACM Trans on Information Systems, 2003, 21(4): 315-346
[10]
Dave K, Lawrence S, Pennock D M. Mining the Peanut Gallery: Opinion Extraction and Semantic Classification of Product Reviews // Proc of the 12th International Conference on World Wide Web. Budapest, Hungary, 2003: 519-528
[11]
Pang B, Lee L. A Sentiment Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts // Proc of the 42nd Annual Meeting on Association for Computational Linguistics. Barcelona, Spain, 2004: 271-278
[12]
Liu Yongdan, Zeng Haiquan, Li Ronglu, et al. Polarity Text Filtering Based on Semantic Analysis. Journal of China Institute of Communications, 2004, 25(7):78-85 (in Chinese) (刘永丹,曾海泉,李荣陆,等.基于语义分析的倾向性文本过滤.通信学报, 2004, 25(7): 78-85)
[13]
Wu C H, Chuang Z J, Lin Y C. Emotion Recognition from Text Using Semantic Labels and Separable Mixture Models. ACM Trans on Asian Language Information Processing, 2006, 5(2): 165-183
[14]
Wiebe J. Learning Subjective Adjectives from Corpora // Proc of the 17th National Conference on Artificial Intelligence. Austin, USA, 2000: 735-740
[15]
Riloff E, Wiebe J. Learning Extraction Patterns for Subjective Expressions // Proc of the Conference on Empirical Methods in Natural Language Processing. Sapporo, Japan, 2003: 105-112
[16]
Wilson T, Wiebe J, Hwa R. Just How Mad Are You? Finding Strong and Weak Opinion Clauses // Proc of the 19th National Conference on Artificial Intelligence. San Jose, USA, 2004: 761-769
[17]
Tong R M. An Operational System for Detecting and Tracking Opinions in On-line Discussions // Proc of the SIGIR Workshop on Operational Text Classification. New Orleans, USA, 2001: 1-6
Liu Qun, Li Sujian. The Computation of Semantic Similarity Based on HowNet. Computational Linguistics and Chinese Language Processing, 2002, 7(2): 59-76 (in Chinese) (刘 群,李素建.基于《知网》的词汇语义相似度的计算.中文计算语言学, 2002, 7(2): 59-76)
[20]
Wiebe J, Wilson T, Bell M. Identifying Collocations for Recognizing Opinions // Proc of the ACL/EACL Workshop on Collocation: Computational Extraction, Analysis and Exploitation. Toulouse, France, 2001: 24-31