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

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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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References

  1. Lowe, R., Pow, N., Serban, I.V., Pineau, J.: The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-turn Dialogue Systems. arXiv preprintarXiv:1506.08909 (2015)

  2. Hu, B.T., Chen, Q.C., Zhu, F.Z.: Lcsts: A Large Scale Chinese Short Text Summarization Dataset. arXiv preprintarXiv:1506.05865 (2015)

  3. Yang, L.Y.: Research on the establishment and applications of public sentiment corpus based on micro-blog information. Office Inform.22, 015 (2016)

    Google Scholar 

  4. Xi, X.F., Zhu, X.M., Sun, Q.Y., Zhou, G.D.: Corpus construction for chinese discourse topic via micro-topic scheme. J. Comput. Res. Develop.54(8), 1833–1852 (2017)

    Google Scholar 

  5. Xue, N.W., Chiou, F.D., Palmer, M.: Building a large-scale annotated Chinese corpus. In: Proceedings of COLING, pp. 1–8. ACL, Taipei (2002)

    Google Scholar 

  6. Aksan, Y., Aksan, M., Koltuksuz, A.: Construction of the Turkish National Corpus (TNC). In: Proceedings of LREC, pp. 3223–3227. European Language Resources Association, Istanbul (2012)

    Google Scholar 

  7. You, Z.Y., Wang, Y.Q., Shu, H.P.: A corpus-based TCM symptoms of speech tagging. Electron. Technol. Softw. Eng.21, 177–178 (2017)

    Google Scholar 

  8. Brockett, C., Dolan, W.B.: Support Vector Machines for Paraphrase Identification and Corpus Construction. In: Proceedings of IWP, pp. 1–8. IWP, Iowa (2005)

    Google Scholar 

  9. Dolan, W.B., Brockett, C.: Automatically constructing a corpus of sentential paraphrases. In: Proceedings of IWP, pp. 9–16. IWP, Iowa (2005)

    Google Scholar 

  10. Vincze, V., Szarvas, G., Farkas, R.: The bioscope corpus: biomedical texts annotated for uncertainty, negation and their scopes. BMC Bioinformatics9(Suppl. 11), S9 (2008)

    Article  Google Scholar 

  11. Zou, B.W., Zhu, Q.M., Zhou, G.D.: Negation and speculation identification in Chinese language. In: Proceedings of ACL-IJCNLP, pp. 656–665. ACL, Beijing (2015)

    Google Scholar 

  12. Zhou, H.W., Yang, H., Xu, J.L., Kang, S.Y.: Construction of Chinese hedge scope corpus. J. Chin. Inf. Process.31(3), 77–85 (2017)

    Google Scholar 

  13. Yin, P.F., Liu, Z., Xu, A.B.: Tone analyzer for online customer service: an unsupervised model with interfered training. In: Proceedings of CIKM, pp. 1887–1895. ACM, Singapore (2017)

    Google Scholar 

  14. Quan, C.Q., Ren, F.J.: Construction of a blog emotion corpus for chinese emotional expression analysis. In: Proceedings of EMNLP, pp. 1446–1454. ACL, Singapore (2009)

    Google Scholar 

  15. Chen, J., Nie, J.Y.: Automatic construction of parallel English-Chinese corpus for cross-language information retrieval. In: Proceedings of ANLP, pp. 21–28. ACL, Stroudsburg (2000)

    Google Scholar 

  16. Feng, G.J., Yu, L., Tian, S.W.: Auto construction of uyghur emotional words corpus based on CRFs. Data Anal. Knowl. Discov.27(3), 17–21 (2011)

    Google Scholar 

  17. Yang, J.F., Guan, Y., He, B., Qu, C.Y., Yu, Q.B., Liu, Y.X., Zhao, Y.J.: Corpus construction for named entities and entity relations on chinese electronic medical records. J. Softw.27(11), 2725–2746 (2016)

    Google Scholar 

  18. Artstein, R., Poesio, M.: Inter-coder agreement for computational linguistics. Comput. Linguist.34(4), 555–596 (2008)

    Article  Google Scholar 

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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

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  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 toJunli 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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