Authorship attribution based on specific vocabulary

ACM Transactions on Information Systems

Volumn 30, Issue 2, 2012, Pages

  Savoy, Jacques ^a  

^a UNIVERSITY OF NEUCHÂTEL   (Switzerland)

Author keywords

Authorship attribution; Lexical statistics; Text classifiaction

Indexed keywords

AUTHORSHIP ATTRIBUTION; BAYES APPROACH; BINOMIAL DISTRIBUTION; CLASSIFICATION SCHEME; DISTANCE MEASURE; DISTANCE-BASED; PUNCTUATION MARKS; TERM OCCURRENCES; TEXT CLASSIFIACTION; TEXT REPRESENTATION; WORD PROFILES; Z-SCORES;

EXPERIMENTS;

NEWSPRINT;

EID: 84863735149     PISSN: 10468188     EISSN: 15582868     Source Type: Journal    
DOI: 10.1145/2180868.2180874     Document Type: Article

References (93)

1. ARGAMON, S. 2006. Introduction to the special topic selection on the computational analysis of style. J. Amer. Soc. Inf. Sci. Technol. 57, 11, 1503-1505.
2. ARGAMON, S. 2008. Interpreting Burrows's delta: Geometric and probabilistic foundations. Liter. Linguist. Comput. 23, 2, 131-147.
3. ARGAMON, S., KOPPEL, M., PENNEBAKER, J. W., AND SCHLER, J. 2009. Automatically profiling the author of an anonymous text. Comm. ACM 52, 2, 119-123.
4. BAAYEN, H. R. 2001. Word Frequency Distributions. Kluwer Academic Press, Dordrecht.
5. BAAYEN, H. R. 2008. Analyzing Linguistic Data: A Practical Introduction to Statistics Using R. Cambridge University Press.
6. BAAYEN, H. R. AND HALTEREN, H. V. 2002. An experiment in authorship attribution. In Proceedings of the 6th International Conference on Statistical Analysis of Texttual Data (JADT'2002). 69-75.
7. BILISOLY, R. 2008. Practical Text Mining with Perl. John Wiley Sons, Hoboken, NJ.
8. BINONGA, J. N. G. AND SMITH, M. W. 1999. The application of principal component analysis to stylometry. Liter. Linguist. Comput. 14, 4, 445-465.
9. BISHOP, C. M. 2007. Pattern Recognition and Machine Learning. Springer.
10. BRILL, E. 1995. Transformation-Based error driven learning and natural language processing: A case study in part-of-speech tagging. Comput. Linguist. 21, 4, 543-565.
11. BURROWS, J. F. 1992. Not unless you ask nicely: The interpretative nexus between analysis and information. Liter. Linguist. Comput. 7, 1, 91-109.
12. BURROWS, J. F. 2002. Delta: A measure of stylistic difference and a guide to likely authorship. Liter. Linguist. Comput. 17, 3, 267-287.
13. CARPENTER, R. H. AND SELTZER, R. V. 1970. On Nixon's Kennedy style. Speaker and Gavel 7, 41-43.
14. CONOVER, W. J. 1980. Practical Nonparametric Statistics 2nd Ed. John Wiley and Sons, New York.
15. CRAIG, H. AND KINNEY, A. F. Eds. 2009. Shakespeare, Computers, and the Mystery of Authorship. Cambridge University Press.
16. CRAWLEY, M. J. 2007. The R Book. John Wiley and Sons, Chichester.
17. CRISTIANINI, N. AND SHAWE-TAYLOR, J. 2000. An Introduction to Support Vector Machines. Cambridge University Press.
18. DIXON, P. AND MANNION, D. 1993. Goldsmith's periodical essays: A statistical analysis. Liter. Linguist. Comput. 8, 1, 1-19.
19. DOLAMIC, L. AND SAVOY, J. 2010. When stopword lists make the difference. J. Amer. Soc. Inf. Sci. Technol. 61, 1, 200-203.
20. DUAN, K.-B. AND KEERTHI, S. S. 2005. Which is the best multiclass SVM method? An empirical study. In Proceedings of the 6th International Workshop on Multiple Classifier System. 278-285.
21. EFRON, B. AND THISTED, R. 1976. Estimating the number of unseen species: How many words did Shakespeare know? Biomerika 63, 3, 435-447.
22. FAUTSCH, C. AND SAVOY, J. 2009. Algorithmic stemmers or morphological analysis: An evaluation. J. A m e r. Soc. Inf. Sci. Technol. 60, 8, 1616-1624.
23. FINN, A. AND KUSHMERICK, N. 2005. Learning to classify documents according to genre. J. Amer. Soc. Inf. Sci. Technol. 57, 11, 1506-1518.
24. FOX, C. 1990. A stop list for general text. ACM SIGIR Forum 24, 19-35.
25. FRANCIS, W. N. AND KUC̀ ERA, H. 1982. Frequency Analysis of English Usage: Lexicon and Grammar. Houghton Mifflin, Boston, MA.
26. GALE, W. A. AND CHURCH, K. W. 1994. What is wrong with adding one? In Corpus-Based Research into Language, N. Oostdijk and P. de Hann Eds., Harcourt Brace.
27. GREENACRE, M. 2007. Correspondence Analysis in Practice 2nd Ed. Chapman and Hall/CRC, Boca Raton, FL.
28. GREFENSETTE, G. AND TAPANAINEN, P. 1994. What is a word? What is a sentence? Problems of tokeniza-tion. In Proceedings of the 3rd Conference on Computational Lexicography and Text Research.
29. GRIEVE, J. 2007. Quantitative authorship attribution: An evaluation of techniques. Liter. Linguist. Comput. 22, 3, 251-270.
30. HARMAN, D. 1991. How effective is suffixing? J. Amer. Soc. Inf. Sci. 42, 1, 7-15.
31. HASTIE, T., TIBSHIRANI, R., AND FRIEDMAN, J. 2009. The Elements of Statistical Learning, Data Mining, Inference, and Prediction 2nd Ed. Springer, New York.
32. HOLMES, D. I. 1992. A stylometric analysis of Mormon scripture and related texts. J Roy. Statist. Soc. A155, 1, 91-120.
33. HOLMES, D. I. 1998. The evolution of stylometry in humanities scholarship. Liter. Linguist. Comput. 13, 3, 111-117.
34. HOLMES, D. I. AND FORSYTH, R. S. 1995. The Federalist revisited: New directions in authorship attribution. Liter. Linguist. Comput. 10, 2, 111-127.
35. HOLMES, D. I. AND CROFTS, D. W. 2010. The Diary of a Public Man: A Case Study in Traditional and Non-Traditional Authorship Attribution. Liter. Linguist. Comput. 25, 2, 179-197.
36. HOLTE, R. C. 1993. Very simple classification rules perform well on most commonly used datasets. Mach. Learn. 11, 1, 63-90.
37. HOOVER, D. L. 2003. Another perspective on vocabulary richness. Comput. Humanit. 37, 151-178.
38. HOOVER, D. L. 2004a. Delta prime? Liter. Linguist. Comput. 19, 4, 477-495.
39. HOOVER, D. L. 2004b. Testing Burrows's delta. Liter. Linguist. Comput. 19, 4, 453-475.
40. HOOVER, D. L. 2006. Stylometry, chronology and the styles of Henry James. In Proceedings of the Digital Humanities Conference. 78-80.
41. HOOVER, D. L. 2007. Updating delta and delta prime. Graduate School of Library and Information Science, University of Illinois, 79-80.
42. HOOVER, D. L. AND HESS, S. 2009. An exercise in non-ideal authorship attribution: The mysterious Maria Ward. Liter. Linguist. Comput. 24, 4, 467-489.
43. HOSMER, D. AND LEMESHOW, S. 2001. Applied Logistic Regression 2nd Ed. John Wiley and Sons, New York.
44. JOACHIMS, T. 2002. Learning to Classify Text Using Support Vector Machines. Methods, Theory, and Algorithms. Kluwer, Boston.
45. JOCKERS, M. L. AND WITTEN, D. M. 2010. A comparative study of machine learning methods for authorship attribution. Liter. Linguist. Comput. 25, 2, 215-223.
46. JOCKERS, M. L., WITTEN, D. M., AND CRIDDLE, C. S. 2008. Reassessing authorship of the Book of Mormon using delta and nearest shrunken centroid classification. Liter. Linguist. Comput. 23, 4, 465-491.
47. JOHNSON, K. 2008. Quantitative Methods in Linguistics. Blackwell, Malden, MA.
48. JUOLA, P. 2006. Authorship attribution. Found. Trends Inf. Retriev. 1, 3.
49. KEŠELJ, V., PENG, F., CERCONE, N., AND THOMAS C. 2003. N-Gram-Based author profiles for authorship attribution. In Proceedings of the Conference Pacific Association for Computational Linguistics (PACLING'03). 255-264.
50. KNUTH, D. E. 1981. The Art of Computer Programming, Vol. 2 Seminumerical Algorithms. Addison-Wesley, Reading, MA.
51. KOPPEL, M., SCHLER, J., AND ARGAMON, S. 2009. Computational methods in authorship attribution. J. Amer. Soc. Inf. Sci. Technol. 60, 1, 9-26.
52. LABBÉ, D. 2001. Normalisation et lemmatisation d'une question ouverte. J. Soc. Franc. Statist. 142, 4, 37-57.
53. LABBÉ, D. 2007. Experiments on authorship attribution by intertextual distance in English. J. Quant. Linguist. 14, 1, 33-80.
54. LEDGER, G. AND MERRIAM, R. 1994. Shakespeare, Fletcher, and The Two Noble Kinsmen. Liter. Linguist. Comput. 9, 3, 235-248.
55. LIDSTONE, G. J. 1920. Note on the general case of the Bayes-Laplace formula for inductive or a posteriori probabilities. Trans. Faculty Actuar. 8, 182-192.
56. LOVE, H. 2002. Attributing Authorship: An Introduction. Cambridge University Press.
57. MANNING, C. D. AND SCHÜTZE, H. 2000. Foundations of Statistical Natural Language Processing. The MIT Press, Cambridge, MA.
58. MANNING, C. D., RAGHAVAN, P., AND SCHÜ TZE, H. 2008. Introduction to Information Retrieval. Cambridge University Press.
59. MARCUS, M. P., SANTORINI, B., AND MARCINKIEWICZ, M. A. 1993. Building a large annotated corpus of english: The penn treebank. Comput. Linguist. 19, 2, 313-330.
60. MCNAMEE, P. AND MAYFIELD, J. 2004. Character n-gram tokenization for European language text retrieval. Inform. Retrieval 7, 1-2, 73-97.
61. MERRIAM, T. 1998. Heterogeneous authorship in early Shakespeare and the problem of Henry V. Liter. Linguist. Comput. 13, 15-28.
62. MIRANDA-GARCIA, A. AND CALLE-MARTIN, J. 2005. Yule's characteristic K revisited. Lang. Resour. Eval. 39, 4, 287-294.
63. MIRANDA GARCIA, A. AND CALLE MARTIN, J. 2007. Function words in authorship attribution studies. Liter. Linguist. Comput. 22, 1, 49-66.
64. MITCHELL, T. M. 1997. Machine Learning. McGraw-Hill, New York.
65. MORTON, A. Q. 1986. Once. A test of authorship based on words which are not repeated in the sample. Liter. Linguist. Comput. 1, 1, 1-8.
66. MOSTELLER, F. AND WALLACE, D. L. 1964. Inference and Disputed Authorship, The Federalist. Addison-Wesley, Reading, MA. Reprint 2007.
67. MULLER, C. 1992. Principes et Méthodes de Statistique Lexicale. Honoré Champion, Paris.
68. MURTAGH, F. 2005. Correspondence Analysis and Data Coding with Java and R. Chapman and Hall/CRC, Boca Raton, FL.
69. NUGUES, P. 2006. An Introduction to Language Processing with Perl and Prolog. Springer, Berlin.
70. PETERS, C. 2001. Cross-Language Information Retrieval and Evaluation. Lectures Notes in Computer Science, vol. 2069, Springer.
71. PETERS, C., GONZALO, J., BRASCHLER, M. AND KLUCK, M. 2004. Comparative Evaluation of Multilingual Information Access Systems. Lectures Notes in Computer Science, vol. 3237, Springer.
72. PORTER, M. F. 1980. An algorithm for suffix stripping. Program 14, 3, 130-137.
73. SAMPSON, G. 2001. Empirical Linguistics. Continuum, London, UK.
74. SAVOY, J. 2001. Report on CLEF-2001 experiments. In Cross-Language Information Retrieval and Evaluation, C. Peters, M. Braschler, J. Gonzalo, and M. Kluck Eds., Lectures Notes in Computer Science, vol. 2069, Springer, 27-43.
75. SAVOY, J. 2010. Lexical analysis of US political speeches. J. Quant. Linguist. 17, 2, 123-141.
76. SEBASTIANI, F. 2002. Machine learning in automatic text categorization. ACM Comput. Surv. 14, 1, 1-27.
77. SICHEL, H. S. 1975. On a distribution law for word frequencies. J. Amer. Statist. Assoc. 70, 351, 542-547.
78. STAMATATOS, E. 2009. A survey of modern authorship attribution methods. J. Amer. Soc. Inf. Sci. Technol. 60, 3.
79. STAMATATOS, E., FAKOTAKIS, N., AND KOKKINAKIS, G. 2001. Automatic text categorization in terms of genre and author. Comput. Linguist. 26, 4, 471-495.
80. STEIN, S. AND ARGAMON, S. 2006. A Mathematical explanation of Burrows's delta. In Proceedings of the Digital Humanities Conference.
81. THISTED, R. AND EFRON, B. 1987. Did Shakespeare write a newly-discovered poem? Biomerika 74, 3, 445-455.
82. TULDAVA, J. 2004. The development of statistical stylistics a survey. J. Quant. Linguist. 11, 1-2, 141-151.
83. WEISS, S. M., INDURKHYA, N. AND ZHANG, T. 2010. Fundamentals of Predictive Text Mining. Springer, London.
84. WITTEN, I. H. AND FRANCK, E. 2005. Data Mining. Practical Machine Learning Tools and Techniques. Elsevier, Amsterdam.
85. YANG, Y. AND LIU, J. X. 1999. A re-examination of text categorization methods. In Proceedings of the ACM SIGIR Conference and Development in Information Retrieval. 42-49.
86. YANG, Y. AND PEDERSEN, J. O. 1997. A comparative study of feature selection in text categorization. In Proceedings of the 14th Conference on Machine Learning (ICML'97). 412-420.
87. YANG, A. C.-C., PENG, C.-K., YIEN, H.-W. AND GOLDBERGER, A. L. 2003. Information categorization approach to literary authorship disputes. Physica A, 329, 473-483.
88. ZHAI, C. X. AND LAFFERTY, J. 2004. A study of smoothing methods for language models applied to information retrieval. ACM Trans. Inf. Syst. 22, 2, 179-214.
89. ZHAO, Y. 2007. Effective authorship attribution in large document collections. Ph.D. thesis, RMIT Melbourne.
90. ZHAO, Y. AND ZOBEL, J. 2005. Effective and scalable authorship attribution using function words. In Proceedings of the 2nd AIRS Asian Information Retrieval Symposium. 174-189.
91. ZHAO, Y. AND ZOBEL, J. 2007a. Searching with style: Authorship attribution in classic literature. In Proceedings of the 30th Australasian Computer Science Conference (ACSC'07). 59-68.
92. ZHAO, Y. AND ZOBEL, J. 2007b. Entropy-Based authorship search in large document collection. In Proceedings of the European Conference on IR Research (ECIR2007). Lecture Notes in Computer Science, vol. 4425, Springer, 381-392.
93. ZHENG, R., LI, J., CHEN, H., AND HUANG, Z. 2006. A framework for authorship identification of online messages: Writing-Style features and classification techniques. J. Amer. Soc. Inf. Sci. Technol. 57, 3, 378-393.