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The Research and Construction of Complaint Orders Classification Corpus in Mobile Customer Service

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Natural Language Processing and Chinese Computing (NLPCC 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11109))

Abstract

Complaint orders in mobile customer service are the records of complaint description, which professional knowledge and information on customer’s complaint intention are kept. Complaint orders classification is important and necessary to be established and completed for further mining, analysis and improve the quality of customer service. Constructed corpus is the basis of research. The lack of complaint orders classification corpus (COCC) in mobile customer service has limited the research of complaint orders classification. This paper first employs K-means algorithm and professional knowledge to determine complaint orders classification labels. Then we craft the annotation rules for complaint orders, and then construct complaint orders classification corpus. The corpus consists of 130044 complaint orders annotated. Finally, we statistically analyze the corpus constructed, and the agreement of each question class reaches over 91%. It indicates that the corpus constructed could provide a great support for complaint orders classification and specialized analysis.

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Notes

  1. 1.

    Available at https://www.mturk.com/.

  2. 2.

    Available at https://www.crowdflower.com.

  3. 3.

    Available at https://github.com/HIT-SCIR/ltp.

  4. 4.

    Available at https://code.google.com/p/word2vec/.

  5. 5.

    Available at https://github.com/zhng1200/COCC.

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Author information

Authors and Affiliations

  1. IT System Department, China Mobile Online Services Company Limited, Zhengzhou, Henan, China

    Junli Xu, Jiangjiang Zhao, Ning Zhao, Chao Xue, Linbo Fan, Zechuan Qi & Qiang Wei

Authors
  1. Junli Xu
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  2. Jiangjiang Zhao
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  3. Ning Zhao
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  4. Chao Xue
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  5. Linbo Fan
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  6. Zechuan Qi
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  7. Qiang Wei
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Corresponding author

Correspondence to Junli Xu .

Editor information

Editors and Affiliations

  1. Soochow University, Suzhou, China

    Min Zhang

  2. The University of Texas at Dallas, Richardson, Texas, USA

    Vincent Ng

  3. Peking University, Beijing, China

    Dongyan Zhao

  4. Peking University, Beijing, China

    Sujian Li

  5. Zhengzhou University, Zhengzhou, China

    Hongying Zan

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Xu, J. et al. (2018). The Research and Construction of Complaint Orders Classification Corpus in Mobile Customer Service. In: Zhang, M., Ng, V., Zhao, D., Li, S., Zan, H. (eds) Natural Language Processing and Chinese Computing. NLPCC 2018. Lecture Notes in Computer Science(), vol 11109. Springer, Cham. https://doi.org/10.1007/978-3-319-99501-4_31

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  • DOI: https://doi.org/10.1007/978-3-319-99501-4_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99500-7

  • Online ISBN: 978-3-319-99501-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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