ZHANG Yangsen, ZHANG Yaorong, JIANG Yuru, HUANG Gaijuan. Multi-feature-Based Subjective-Sentence Classification Method for Chinese Micro-blogs[J]. Chinese Journal of Electronics, 2017, 26(6): 1111-1117. doi: 10.1049/cje.2017.09.006
Citation: ZHANG Yangsen, ZHANG Yaorong, JIANG Yuru, HUANG Gaijuan. Multi-feature-Based Subjective-Sentence Classification Method for Chinese Micro-blogs[J]. Chinese Journal of Electronics, 2017, 26(6): 1111-1117. doi: 10.1049/cje.2017.09.006

Multi-feature-Based Subjective-Sentence Classification Method for Chinese Micro-blogs

doi: 10.1049/cje.2017.09.006
Funds:  This work is supported by the National Natural Science Foundation of China (No.61370139, No.61602044).
  • Received Date: 2017-04-05
  • Rev Recd Date: 2017-05-18
  • Publish Date: 2017-11-10
  • The accurate classification of subjective and objective sentences is important in the preparation for micro-blog sentiment analysis. Since a single feature type cannot provide enough subjective information for classification, we propose a Support vector machine (SVM)-based classification model for Chinese micro-blogs using multiple features. We extracted the subjective features from the Part of speech (POS) and the dependency relationship between words, and constructed a 3-POS subjective pattern set and a dependency template set. We fused these two types of features and used an SVM-based model to classify Chinese micro-blog text. The experimental results showed that the performance of the classification model improved remarkably when using multiple features.
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  • CNNIC, "Statistical report on China's internet development", http://www.cnnic.cn/hlwfzyj/hlwxzbg/, 2016-8-3. (in Chinese)
    E. Riloff, J. Wiebe and T. Wilson, "Learning subjective nouns using extraction pattern bootstrapping", Conference on Natural Language Learning at Hlt-Naacl Association for Computational Linguistics, Vol.4, pp.25-32, Edmonton, Canada, 2003.
    E. Riloff, J. Wiebe and W. Phillips, "Exploiting subjectivity classification to improve information extraction", The Twentieth National Conference on Artificial Intelligence and the Seventeenth Innovative Applications of Artificial Intelligence Conference, pp.1106-1111, Pittsburgh, Pennsylvania, USA, 2005.
    Y. Qiang, Z. Ziqiong and L. Zhenxiong, "A study on Chinese subjective automatic judgment of sentiment analysis for internet comment", China Journal of Information Systems, Vol.1, No.1, pp.79-81, 2007. (in Chinese)
    L. Li, W. Yongheng and W. Hang, "Fine-grained sentiment analysis for product reviews", Computer Application, Vol.35, No.12, pp.3481-3486, 2015. (in Chinese)
    H. Faliang, L. Chaoxiong, Y. Changan, et al., "Mining sentiment for web short texts based on TSCM model", Acta Electronica Sinica, Vol.44, No.8, pp.1887-1891, 2016. (in Chinese)
    L. Tingting and J. Donghong, "Micro-blog sentiment analysis based on multi-feature combination of SVM and CRF", Application Research of Computers, Vol.32, No.4, pp.978-981, 2015. (in Chinese)
    Z. Yangsen, J. Yuru and T. Yixuan, "Study of sentiment classification for chinese microblog based on recurrent neural network", Chinese Journal of Electronics, Vol.25, No.4, pp.601-607, 2016.
    L. Yuqing, L. Xin, H. Xu, et al., "A bilingual lexicon based multi-class semantic orientation analysis for microblogs", Acta Electronica Sinica, Vol.44, No.9, pp.2068-2073, 2016. (in Chinese)
    D. Michie, D.J. Spiegelhalter, C.C. Taylor, et al., "Machine learning, neural and statistical classificatio", Technometrics, Vol.37, No.4, pp.459-459, 1995.
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