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Analysis and Classification of Strategies in Electronic Negotiations

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Advances in Artificial Intelligence (Canadian AI 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3501))

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Abstract

The intensive use of the Web, email and instant messaging for inter- and intra-business communications has resulted in rapid increase of electronic business communication, including negotiations. Simulated electronic negotiations have become an important tool in the study of “real world” electronic negotiations. We explore negotiation strategies by applying Statistical Natural Language Processing and Machine Learning methods to the text data of simulated electronic negotiations. We derive conclusions about strategies in successful and unsuccessful negotiations. We support our claims by extracting information about strategies and representing data through this information. We classify data and analyze classification results with respect to learning abilities of the classifiers and the data representation.

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References

  1. Bazerman, M.H., Curhan, J.R., Moore, D.A., Valley, K.L.: Negotiation. Annual Review of Psychology, http://arjournals.annualreviews.org/doi/pdf/10.1146/annurev.psych.51.1.279

  2. Brett, J.M.: Negotiating Globally. Jossey-Bass, San Francisco (2001)

    Google Scholar 

  3. Cantrall, W.R.: Viewpoint, Reflexives, and the Nature of Noun Phrases, Mouton, The Hague (1974)

    Google Scholar 

  4. Cellich, C., Jain, S.C.: Global Business Negotiations: A Practical Guide, Thomson, South-Western (2004)

    Google Scholar 

  5. Cristianini, N., Shawe-Taylor, J.: An Introduction to Support Vector Machines and other kernel-based learning methods. Cambridge University Press, Cambridge (2000)

    Google Scholar 

  6. Drake, L.E.: The Culture-Negotiation Link. Human Communication Research 27(3), 317–349 (2001)

    Google Scholar 

  7. Hargie, O., Dickson, D.: Skilled Interpersonal Communication: Research, Theory and Practice. Routledge (2004)

    Google Scholar 

  8. Hu, J.: Message in the bottleneck. News.Com (2003), http://news.com.com/2009-1033-992348.html

  9. Joachims, T.: Making large-Scale SVM Learning Practical. In: Schölkopf, B., Burges, C., Smola, A. (eds.) Advances in Kernel Methods - Support Vector Learning, pp. 169–185. MIT-Press, Cambridge (1999)

    Google Scholar 

  10. Jurafsky, D., Martin, J.H.: Speech and Language Processing. Prentice Hall, Englewood Cliffs (2000)

    Google Scholar 

  11. Kersten, G.E., Zhang, G.: Mining Inspire Data for the Determinants of Successful Internet Negotiations. Central European J. of Operational Research 11(3), 297–316 (2003)

    MATH  Google Scholar 

  12. Kilgarriff, A.: Comparing Corpora. International Journal of Corpus Linguistics 6(1), 97–133 (2001)

    Article  Google Scholar 

  13. Leech, G.N.: Meaning and the English Verb, Longman (1987)

    Google Scholar 

  14. Manning, C.D., Schütze, H.: Foundations of Statistical Natural Language Processing. The MIT Press, Cambridge (1999)

    MATH  Google Scholar 

  15. Oakes, M.P.: Statistics for Corpus Linguistics. Edinburg University Press (1998)

    Google Scholar 

  16. Pang, B., Lee, L., Vaithyanathan, S.: Thumbs up? Sentiment Classification using Machine Learning Techniques. In: Proc. EMNLP 2002, pp. 79–86 (2002)

    Google Scholar 

  17. Perkins, M.R.: Modal Expressions in English. Ablex Publishing Corporation, Greenwich (1983)

    Google Scholar 

  18. Perloff, R.M.: The Dynamics of Persuasion. Lawrence Erlbaum Associates, Mahwah (2003)

    Google Scholar 

  19. Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo (1993)

    Google Scholar 

  20. Rudanko, J.: Complementation and Case Grammar. State University of New York Press (1989)

    Google Scholar 

  21. Schoop, M.: A Language-Action Approach to Electronic Negotiations. In: Proc (LAP 2003), pp. 143–160 (2003)

    Google Scholar 

  22. Shah, M., Sokolova, M., Szpakowicz, S.: The Role of Domain-Specific Knowledge in Classifying the Language of E-negotiations. In: Proc. ICON 2004, Hyderabad, India, pp. 99–108 (2004)

    Google Scholar 

  23. Sokolova, M., Szpakowicz, S., Nastase, V.: Using language to Determine Success in Negotiations: A Preliminary Study. In: Proc. Canadian AI 2004, 449-453 (2004)

    Google Scholar 

  24. Sokolova, M., Nastase, V., Szpakowicz, S.: Language in Electronic Negotiations: Patterns in Completed and Uncompleted Negotiations. In: Proc. ICON 2004, Hyderabad, India, pp. 142–151 (2004)

    Google Scholar 

  25. Ströbel, M.: Effects of Electronic Markets on Negotiation Processes. In: Proc. ECIS 2000, pp. 445–452 (2000)

    Google Scholar 

  26. Thompson, L., Nadler, J.: Negotiating Via Information Technology: Theory and Application. Journal of Social Issues 58(1), 109–124 (2002)

    Article  Google Scholar 

  27. Tottie, G.: Negation in English Speech and Writing. Academic Press Inc, London (1991)

    Google Scholar 

  28. Witten, I., Frank, E.: Data Mining. Morgan Kaufmann, San Francisco (2000), http://www.cs.waikato.ac.nz/ml/weka/

    Google Scholar 

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Sokolova, M., Szpakowicz, S. (2005). Analysis and Classification of Strategies in Electronic Negotiations. In: Kégl, B., Lapalme, G. (eds) Advances in Artificial Intelligence. Canadian AI 2005. Lecture Notes in Computer Science(), vol 3501. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424918_16

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  • DOI: https://doi.org/10.1007/11424918_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25864-3

  • Online ISBN: 978-3-540-31952-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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