Journal of Korea Trade

Korea Trade Research Association (한국무역학회)
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Is Text Mining on Trade Claim Studies Applicable? Focused on Chinese Cases of Arbitration and Litigation Applying the CISG

  • Yu, Cheon (Department of International Trade, Mokpo National University) ;
  • Choi, DongOh (Department of International Trade, Mokpo National University) ;
  • Hwang, Yun-Seop (Department of International Trade, KyungHee University)
  • Received : 2020.09.11
  • Accepted : 2020.12.28
  • Published : 2020.12.31
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Abstract

Purpose - This is an exploratory study that aims to apply text mining techniques, which computationally extracts words from the large-scale text data, to legal documents to quantify trade claim contents and enables statistical analysis. Design/methodology - This is designed to verify the validity of the application of text mining techniques as a quantitative methodology for trade claim studies, that have relied mainly on a qualitative approach. The subjects are 81 cases of arbitration and court judgments from China published on the website of the UNCITRAL where the CISG was applied. Validation is performed by comparing the manually analyzed result with the automatically analyzed result. The manual analysis result is the cluster analysis wherein the researcher reads and codes the case. The automatic analysis result is an analysis applying text mining techniques to the result of the cluster analysis. Topic modeling and semantic network analysis are applied for the statistical approach. Findings - Results show that the results of cluster analysis and text mining results are consistent with each other and the internal validity is confirmed. And the degree centrality of words that play a key role in the topic is high as the between centrality of words that are useful for grasping the topic and the eigenvector centrality of the important words in the topic is high. This indicates that text mining techniques can be applied to research on content analysis of trade claims for statistical analysis. Originality/value - Firstly, the validity of the text mining technique in the study of trade claim cases is confirmed. Prior studies on trade claims have relied on traditional approach. Secondly, this study has an originality in that it is an attempt to quantitatively study the trade claim cases, whereas prior trade claim cases were mainly studied via qualitative methods. Lastly, this study shows that the use of the text mining can lower the barrier for acquiring information from a large amount of digitalized text.

Keywords

Acknowledgement

This work is supported by Research Funds of Mokpo National University in 2020

References

  1. Allee, T., M. Elsig and A. Lugg (2017), "The Ties between the World Trade Organization and Preferential Trade Agreements: A Textual Analysis", Journal of International Economic Law, 20(2), 333-363. https://doi.org/10.1093/jiel/jgx009
  2. Berelson, B. (1952), Content Analysis in Communication Research, Glencoe, Ill: Free Press.
  3. Deerwester, S., S. T. Dumais, G. W. Furnas, T. K. Landauer, T. K. and R. Harshman (1990), "Indexing by Latent Semantic Analysis", Journal of the American Society for Information Science, 41(6), 391-407. https://doi.org/10.1002/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9
  4. Evans, M., W. McIntosh, J. Lin and C. Cates (2007), "Recounting the Courts? Applying Automated Content Analysis to Enhance Empirical Legal Research", Journal of Empirical Legal Studies, 4(4), 1007-1039. https://doi.org/10.1111/j.1740-1461.2007.00113.x
  5. Freeman, L. C. (2005), "Graphic Techniques for Exploring Social Network Data". In P. J. Carrington, J. Scott and S. Wasserman (Eds.), Models and Methods in Social Network Analysis, New York, NY: Cambridge University Press, 248-269.
  6. Gentzkow, M., B. Kelly and M. Taddy (2019), "Text as Data", Journal of Economic Literature, 57(3), 535-74. https://doi.org/10.1257/jel.20181020
  7. Ghani, R. and A. E. Fano (2002, December 9-12), "Using Text Mining to Infer Semantic Attributes for Retail Data Mining", 2002 IEEE International Conference on Data Mining, Maebashi City, Japan.
  8. Hair, J. F., W. C. Black, B. J. Babin, R. E. Anderson and R. L. Tatham (2006), Multivariate Data Analysis (6th ed.), Upper Saddle River, NJ: Pearson Prentice Hall.
  9. Hall, M. A. and R. F. Wright (2008), "Systematic Content Analysis of Judicial Opinions", Calif. L. Rev., 96, 63-122.
  10. Hansen, D., B. Shneiderman and M. Smith (2009), "Analyzing Social Media Networks: Learning by Doing with NodeXL", Computing, 28(4), 1-47.
  11. Hardiman, R. T., R. Lacey and Y. M. Yi (1990), "Use of Cluster Analysis for Identification and Classification of Farming Systems in Qingyang County, Central North China", Agricultural systems, 33(2), 115-125. https://doi.org/10.1016/0308-521X(90)90075-2
  12. Harris, Z. S. (1954), "Distributional Structure", Word, 10(2-3), 146-162. https://doi.org/10.1080/00437956.1954.11659520
  13. Holsti, O. R. (1969), Content Analysis for the Social Sciences and Humanities, Reading, MA: Addison-Wesley Publishing Company.
  14. Hornik, K. and B. Grun (2011), "An R Package for Fitting Topic Models", Journal of Statistical Software, 40(13), 1-30.
  15. Iselin, D. and B. Siliverstovs (2013), "The R-word index for Switzerland", Applied Economics Letters, 20(11), 1032-1035. https://doi.org/10.1080/13504851.2013.772290
  16. Jacobs, M. S. and Y. Huang (2005), "An Arbitrator's Power and Duties Under Art. 114 of Chinese Contract Law in Awarding Damages in China in Respect of a Dispute under a Contract Governed by CISG", Mealey's International Arbitration Report, 20, 39-43.
  17. Jang, H. Y. and G. A. Barnett (1994), "Cultural Differences in Organizational Communication: A Semantic Network Analysis 1", Bulletin of Sociological Methodology/Bulletin de Methodologie Sociologique, 44(1), 31-59. https://doi.org/10.1177/075910639404400104
  18. Jang Heung-Hoon (2002), "Study on the Chinese International Commercial Culture and Negotiation Strategy with the Chinese", Journal of Korea Culture Industry, 2(1), 173-188.
  19. Jiang, K., G. A. Barnett and L. D. Taylor (2016), "Dynamics of Culture Frames in International News Coverage: A Semantic Network Analysis", International Journal of Communication, 10, 3170-3736.
  20. Kumar, A. and A. Paul (2016), Mastering Text Mining with R, Birmingham, UK: Packt Publishing Ltd.
  21. Laver, M., K. Benoit and J. Garry (2003), "Extracting Policy Positions from Political Texts Using Words as Data", American Political Science Review, 97(2), 311-331.
  22. Lee Ju-Yeon, Seung-Hwan Han and Ki-Seok Kwon (2015), "A Study on Korean Legal Research Trend During the Last 10 Years based on Keyword Network Analysis", Ajou Law, 8(4), 519-539. https://doi.org/10.21589/ajlaw.2015.8.4.519
  23. Lee, K. and H. Jung (2019), "Dynamic Semantic Network Analysis for Identifying the Concept and Scope of Social Sustainability", Journal of Cleaner Production, 233, 1510-1524. https://doi.org/10.1016/j.jclepro.2019.05.390
  24. Lin, D. and P. Pantel (2001), "Discovery of Inference Rules for Question-Answering", Natural Language Engineering, 7(4), 343-360. https://doi.org/10.1017/S1351324901002765
  25. Manning, C., P. Raghavan and H. Schutze (2010), "Introduction to Information Retrieval", Natural Language Engineering, 16(1), 100-103. https://doi.org/10.1017/S1351324909005129
  26. McDonald, S. and M. Ramscar (2001), "Testing the Distributional Hypothesis: The Influence of Context on Judgements of Semantic Similarity", Proceedings of the Annual Meeting of the Cognitive Science Society, 23 (23), 611-616.
  27. Mohs, F. and B. Zeller (2006), "Commentary: Penalty and Liquidated Damages Clauses in CISG Contracts Revisited", Mealey's International Arbitration Report, 21(6), 1-5.
  28. Nahm Choon-Ho (2016), "An Illustrative Application of Topic Modeling Method to a Farmer's Diary", Cross-Cultural Studies, 22(1), 89-135.
  29. Newman, D., J. H. Lau, K. Grieser and T. Baldwin (2010, June 2-4), "Automatic Evaluation of Topic Coherence", Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Los Angeles, California, USA.
  30. Ponweiser, M. (2012), Latent Dirichlet Allocation in R (Diploma Thesis), Vienna: WU Vienna University of Economics and Business.
  31. Porta, R. L., F. Lopez-de-Silanes, A. Shleifer and R. W. Vishny (1998), "Law and Finance", Journal of Political Economy, 106(6), 1113-1155. https://doi.org/10.1086/250042
  32. Ramaswamy, M. P. (2017), "The Scope of CISG in China and Brazil and Facilitation of Trade with Portuguese Speaking Countries", International Journal of Social Sciences, 3(2), 78-92.
  33. Ruiz, J. B. and G. A. Barnett (2015), "Exploring the Presentation of HPV Information Online: A Semantic Network Analysis of Websites", Vaccine, 33(29), 3354-3359. https://doi.org/10.1016/j.vaccine.2015.05.017
  34. Salton, G., A. Wong and C. S. Yang (1975), "A Vector Space Model for Automatic Indexing", Communications of the ACM, 18(11), 613-620. https://doi.org/10.1145/361219.361220
  35. Shen, J. (1997), "Declaring the Contract Avoided: The UN Sales Convention in the Chinese Context", New York International Law Review, 10 (1), 7-57.
  36. Shin, Koon-Jae (2007), "An Empirical Study on the Relationship between the Characteristics of Firms and Contracts and the Experience of Claims", Korea Trade Review, 32(5), 155-178.
  37. Shulman, M. R. and L. Singh (2010), "China's Implementation of the UN Sales Convention through Arbitral Tribunals", Columbia Journal of Transnational Law, 48, 242-286.
  38. Tong, Z. and H. Zhang (2016, May 21-22), "A Text Mining Research based on LDA Topic Modelling", The Sixth International Conference on Computer Science, Engineering and Information Technology, Vienna, Austria.
  39. United Nations Commission on International Trade Law (UNCITRAL) (2016), UNCITRAL Digest of Case Law on the United Nations Convention on Contracts for the International Sale of Goods, Vienna: UNCITRAL.
  40. Wang, C. (1989a), "Comparison Between the CISG and the FECL (Part I)", Chinese Legal Science, 3, 106-116.
  41. Wang, C. (1989b), "Comparison Between the CISG and the FECL (Part II)", Chinese Legal Science, 4, 114-116.
  42. Wang, C. (1989c), "Comparison Between the CISG and the FECL (Part III)", Chinese Legal Science, 5, 115-119.
  43. Wang, X. and C. B. Andersen (2004), "The Chinese Declaration Against Oral Contracts Under the CISG", Vindobona Journal of International Commercial Law and Arbitration, 8, 145-165.
  44. Weaver, W. (1955), "Translation", Machine Translation of Languages, 14(15-23), 10.
  45. Weber, R. P. (1990), Basic Content Analysis, Newburry Park, CA: Sage Publications.
  46. Wu, D. (2005), "CIETAC's Practice on the CISG", Nordic Journal of Commercial Law, 2, 1-46.
  47. Yang, Y. (2004), "Suspension Rules under Chinese Contract Law, the UCC and the CISG: Some Comparative Perspectives", China Law & Practice, 18(7), 23-27.
  48. Yongping, X. and L. Weidi (2008), "Selected Topics on the Application of the CISG in China", Pace International Law Review, 20, 61-103.
  49. Yu, Cheon (2018), "Analysis of CISG Clauses and China's Decision Cases using Relational Contract Theory: Focusing on the Mutuality-Flexibility Frame", International Commerce and Information Review, 20(4), 289-308.
  50. Yu, C. (2019), "An Empirical Study on Trade Claim Management from a Relational Perspective", Journal of Korea Trade, 23(6), 14-32. https://doi.org/10.35611/jkt.2019.23.6.14
  51. Zarei, B., H. Sharifi and Y. Chaghouee (2018), "Delay Causes Analysis in Complex Construction Projects: A Semantic Network Analysis Approach", Production Planning & Control, 29(1), 29-40. https://doi.org/10.1080/09537287.2017.1376257
  52. Zeller, B. (1999), "CISG and China". In R. W. Michael (Ed.), CISG and China: Dialog DeutschlandSchweiz VII, Geneva, Switzerland: University of Geneva, 7-22.
  53. Zhou, J. Q. and M. W. Peng (2010), "Relational Exchanges versus Arm's-Length Transactions during Institutional Transitions", Asia Pacific Journal of Management, 27(3), 355-370. https://doi.org/10.1007/s10490-009-9142-7