Scalability Issues in Authorship Attribution.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Luyckx, Kim
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Bruxelles : ASP, 2010.
Temas:
Computational linguistics.
Literature > Data processing.
Authorship > Research > Methodology.
Linguistique informatique.
Littérature > Informatique.
Art d'écrire > Recherche > Méthodologie.
computational linguistics.
Computational linguistics
Literature > Data processing
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front
  • Table of Contents
  • Chapter 1
  • 1.1 Context and Motivation
  • 1.2 Research Objectives
  • 1.3 Our Perspective on Authorship Attribution
  • 1.4 Contributions and Limitations
  • 1.5 Chapter Guide
  • Chapter 2
  • 2.1 Introducing the Task
  • 2.2 Perspectives on Authorship Attribution
  • 2.3 Methods and Techniques for Authorship Attribution
  • 2.4 Summary
  • Chapter 3
  • 3.1 Methodology
  • 3.2 Evaluation Data Sets
  • 3.3 Summary
  • Chapter 4
  • 4.1 Introduction and Research Questions
  • 4.2 Experimental Matrix and Baseline
  • 4.3 Feature Selection Methods4.4 Cross-Validation Schemes for Multi-Topic Data
  • 4.5 Conclusions
  • Chapter 5
  • 5.1 Introduction and Research Questions
  • 5.2 Experimental Set-Up
  • 5.3 The Effect of Author Set Size in the Original Data Sets
  • 5.4 The Effect of Author Set Size in Data Size and Topic Bal-anced Data
  • 5.5 The Effect of Exclusive Testing on Small Author Set Sizes
  • 5.6 Conclusions
  • Chapter 6
  • 6.1 Introduction and Research Questions
  • 6.2 Experimental Set-Up
  • 6.3 Data Size as the Number of Variable-Length Samples
  • 6.4 Data Size as the Number of Fixed-Length Samples6.5 Robustness to Limited Data
  • 6.6 Conclusions
  • Chapter 7
  • 7.1 Conclusions
  • 7.2 Further Research
  • Appendix A
  • Appendix B
  • Appendix C
  • Appendix D
  • Appendix E
  • Appendix F
  • Appendix G
  • Appendix H

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