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A Hybrid Method to Sentiment Analysis for Chinese Microblog

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Book cover Knowledge Graph and Semantic Computing. Language, Knowledge, and Intelligence (CCKS 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 784))

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Abstract

In recent years, more and more netizens are willing to express their opinions on social media platforms. Sentiment analysis is effective and valuable to extract useful information out of massive text documents. In this paper, we proposed a hybrid approach to the sentiment analysis problem for Chinese microblog. This hybrid approach combines the basic techniques of natural language processing (NLP) and machine learning to determine the semantic orientation for Chinese microblog. The hybrid method is tested on two public data sets and the results show that our method is effective.

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Acknowledgment

This research is supported by the National Natural Science Foundation of China (Grant nos. 61472329 and 61532009), youth fund of China (no. 61602389) and the Innovation Fund of Postgraduate, Xihua University (no. ycjj201671).

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Authors and Affiliations

  1. School of Computer and Software Engineering, Xihua University, Chengdu, 610039, China

    Xia Fu, Yajun Du & Yongtao Ye

Authors
  1. Xia Fu
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  2. Yajun Du
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  3. Yongtao Ye
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Corresponding author

Correspondence to Xia Fu .

Editor information

Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Juanzi Li

  2. Beijing Xigema Center, Beijing, China

    Ming Zhou

  3. School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu, China

    Guilin Qi

  4. Google, Mountain View, California, USA

    Ni Lao

  5. East China University of Science and Technology, Shanghai, China

    Tong Ruan

  6. Guangdong University of Foreign Studies, Guangzhou, China

    Jianfeng Du

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© 2017 Springer Nature Singapore Pte Ltd.

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Fu, X., Du, Y., Ye, Y. (2017). A Hybrid Method to Sentiment Analysis for Chinese Microblog. In: Li, J., Zhou, M., Qi, G., Lao, N., Ruan, T., Du, J. (eds) Knowledge Graph and Semantic Computing. Language, Knowledge, and Intelligence. CCKS 2017. Communications in Computer and Information Science, vol 784. Springer, Singapore. https://doi.org/10.1007/978-981-10-7359-5_15

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  • DOI: https://doi.org/10.1007/978-981-10-7359-5_15

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7358-8

  • Online ISBN: 978-981-10-7359-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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