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Lexicon-Based Sentiment Analysis on Topical Chinese Microblog Messages

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Book cover Semantic Web and Web Science

Part of the book series: Springer Proceedings in Complexity ((SPCOM))

Abstract

Microblogging is a popular social media where people express their opinions and sentiment on social topics. The Chinese microblogging service, called Weibo, has become a remarkable media in the Chinese society. People are eager to know others’ attitudes towards social events; thus sentiment analysis on those topical microblog messages is important. In this paper we introduce a lexicon-based sentiment analysis method. We construct a Weibo Lexicon with representative topical words and out-of-vocabulary (OOV) words, which are usually informal and are not existing in formal dictionaries. In addition, we use a propagation algorithm to automatically assign sentiment polarity scores to the discovered words. These scores are more closely reflecting the Weibo context since words may have new or opposite polarities instead of their formal meanings. Evaluations on the classification tasks show that our method is effective on recognizing the subjectivity and sentiment of Weibo sentences. The Weibo lexicon increases the performance of the classifications.

This work was supported by Natural Science Foundation (60903107, 61073071), National High Technology Research and Development (863) Program (2011AA01A207) and the Research Fund for the Doctoral Program of Higher Education of China (20090002120005). This work has been done at the NUS-Tsinghua EXtreme search centre (NExT).

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Notes

  1. 1.

    http://twitter.com/.

  2. 2.

    http://www.mediabistro.com/alltwitter/500-million-registered-users_b18842.

  3. 3.

    http://weibo.com/.

  4. 4.

    http://t.qq.com/.

  5. 5.

    http://www.keenage.com/html/c_bulletin_2007.htm.

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Acknowledgements

The NExT search center is supported by the Singapore National Research Foundation and Interactive Digital Media R&D Program Office, MDA, under research grant (WBS: R-252-300-001-490).

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Authors and Affiliations

  1. State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing, 100084, China

    Anqi Cui, Haochen Zhang, Yiqun Liu, Min Zhang & Shaoping Ma

Authors
  1. Anqi Cui
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  2. Haochen Zhang
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  3. Yiqun Liu
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  4. Min Zhang
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  5. Shaoping Ma
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Corresponding author

Correspondence to Anqi Cui .

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Editors and Affiliations

  1. , Dept. of Computer Science and Technology, Tsinghua University, Room 10-206, East main building, Beijing, 100084, China, People's Republic

    Juanzi Li

  2. , School of Comp. Sci. & Eng., Southeast University, Dongda Road 2, Nanjing, 211189, Jiangsu, China, People's Republic

    Guilin Qi

  3. Peking University, Inst. of Computer Science & Tech., North Zhongguancun Street 128, Beijing, 100871, China, People's Republic

    Dongyan Zhao

  4. L3S Research Center, Leibniz University Hannover, Appelstr. 4, Hannover, 30167, Germany

    Wolfgang Nejdl

  5. Tsinghua Campus H202B, Shenzhen City, 518055, China, People's Republic

    Hai-Tao Zheng

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Cui, A., Zhang, H., Liu, Y., Zhang, M., Ma, S. (2013). Lexicon-Based Sentiment Analysis on Topical Chinese Microblog Messages. In: Li, J., Qi, G., Zhao, D., Nejdl, W., Zheng, HT. (eds) Semantic Web and Web Science. Springer Proceedings in Complexity. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6880-6_29

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  • DOI: https://doi.org/10.1007/978-1-4614-6880-6_29

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-6879-0

  • Online ISBN: 978-1-4614-6880-6

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