Stylometric Feature Analysis for Authorship Identification Using Data Mining Classification Techniques
Keywords:
Authorship Identification, Stylometry, Natural Language Processing, Data Mining, Machine Learning, Stylometric Features, Support Vector Machine, Literary Analysis.Abstract
Identification of authorship is one of the most important applications in Natural Language Processing (NLP), digital forensics and literature studies, wherein an anonymous or disputed document is identified by its author based on writing style analysis. In this paper, study present an authorship identification framework based on a set of stylometric features using supervised data mining classification techniques. A balanced literary corpus containing 100 documents authored by four Indian English authors has been used, with the analysis performed on sixteen stylometric features encompassing structure, lexical, vocabulary richness, readability, punctuation and function word properties. Performance of five classifiers, including Decision Tree, Random Forest, Naïve Bayes, K-Nearest Neighbour and Support Vector Machine, has been investigated for authorship classification. Experimental results reveal that the proposed authorship identification framework successfully differentiates between the authors based on their unique writing styles, with the Support Vector Machine having attained the best classification accuracy of 95.24%, whereas Random Forest shows better robustness during cross-validation.
How to cite this article:
Sharma T, Singh V. Stylometric Feature Analysis for Authorship Identification Using Data Mining Classification Techniques. J Adv Res Appl Math Stat, Vol 11, Issue 3&4 2026: Pg. No. 26-46.
DOI: https://doi.org/10.24321/2455.7021.202608
References
Stamatatos, Efstathios. "A survey of modern authorship attribution methods." Journal of the American Society for information Science and Technology 60, no. 3 (2009): 538-556.
Koppel, Moshe, Jonathan Schler, and Shlomo Argamon. "Computational methods in authorship attribution." Journal of the American Society for information Science and Technology 60, no. 1 (2009): 9-26.
Juola, Patrick. "Authorship attribution." Foundations and Trends® in Information Retrieval 1, no. 3 (2008): 233-334.
Holmes, David I. "The evolution of stylometry in humanities scholarship." Literary and linguistic computing 13, no. 3 (1998): 111-117.
Levchenko, Maria. "Stylometry or Embeddings? Authorship Attribution for Russian and Italian Poetry." (2026).
Abbasi, Ahmed, and Hsinchun Chen. "Writeprints: A stylometric approach to identity-level identification and similarity detection in cyberspace." ACM Transactions on Information Systems (TOIS) 26, no. 2 (2008): 1-29.
Koppel, Moshe, Jonathan Schler, Shlomo Argamon, and Yaron Winter. "The “fundamental problem” of authorship attribution." English Studies 93, no. 3 (2012): 284-291.
Stamatatos, Efstathios. "Author identification using imbalanced and limited training texts." In 18th International Workshop on Database and Expert Systems Applications (DEXA 2007), pp. 237-241. IEEE, 2007.
Argamon, Shlomo, and Shlomo Levitan. "Measuring the usefulness of function words for authorship attribution." In Proceedings of the 2005 ACH/ALLC Conference, pp. 4-7. 2005.
Hoover, David L. "Frequent collocations and authorial style." Literary and Linguistic Computing 18, no. 3 (2003): 261-286.
Nirkhi, S. M., R. V. Dharaskar, and V. M. Thakare. "Authorship Attribution of online messages using Stylometry: An Exploratory Study." In International Conference on Advances in Engineering and Technology (ICAET’2014). 2014.
V. Singh and R. Singhal, "New Methods for Solving Disputed Authorship Problems," Indian Linguistics, vol. 68, no. 1–2, 2007.
V. Singh and R. Singhal, "Application of Discriminant Analysis for the Comparative Study of Writing Style of Premchand in Short Stories and Novels," Indian Linguistics, vol. 69, no. 1–4, 2008.
Luyckx, Kim, and Walter Daelemans. "Authorship attribution and verification with many authors and limited data." In Proceedings of the 22nd international conference on computational linguistics (COLING 2008), pp. 513-520. 2008.
Lewis, David D., Yiming Yang, Tony G. Rose, and Fan Li. "Rcv1: A new benchmark collection for text categorization research." Journal of machine learning research 5, no. Apr (2004): 361-397.
Iqbal, Farkhund, Rachid Hadjidj, Benjamin CM Fung, and Mourad Debbabi. "A novel approach of mining write-prints for authorship attribution in e-mail forensics." digital investigation 5 (2008): S42-S51.
Abbasi, Ahmed, and Hsinchun Chen. "Writeprints: A stylometric approach to identity-level identification and similarity detection in cyberspace." ACM Transactions on Information Systems (TOIS) 26, no. 2 (2008): 1-29.
Abbasi, Ahmed, and Hsinchun Chen. "Visualizing authorship for identification." In International Conference on Intelligence and Security Informatics, pp. 60-71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006.
Pavelec, Daniel, Edson Justino, and Luiz S. Oliveira. "Author identification using stylometric features." Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial 11, no. 36 (2007): 59-65.
Stańczyk, Urszula. "Machine learning approach to authorship attribution of literary texts." International Journal of Applied Mathematics & Informatics 1, no. 4 (2007): 151.
Iqbal, Farkhund, Hamad Binsalleeh, Benjamin CM Fung, and Mourad Debbabi. "Mining writeprints from anonymous e-mails for forensic investigation." digital investigation 7, no. 1-2 (2010): 56-64.
López-Monroy, Adrián Pastor, Manuel Montes-y-Gómez, Luis Villaseñor-Pineda, Jesús Ariel Carrasco-Ochoa, and José Fco Martínez-Trinidad. "A new document author representation for authorship attribution." In Mexican Conference on Pattern Recognition, pp. 283-292. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Koppel, Moshe, Jonathan Schler, Shlomo Argamon, and Yaron Winter. "The “fundamental problem” of authorship attribution." English Studies 93, no. 3 (2012): 284-291.
Koppel, Moshe, Shlomo Argamon, and Anat Rachel Shimoni. "Automatically Categorizing Written Texts by Author Gender." Literary and Linguistic Computing 17 (2004).
Van Halteren, Hans. "Linguistic profiling for authorship recognition and verification." In Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL-04), pp. 199-206. 2004.
Koppel, Moshe, Jonathan Schler, Shlomo Argamon, and Eran Messeri. "Authorship attribution with thousands of candidate authors." In Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 659-660. 2006.
Stamatatos, Efstathios. "Author identification: Using text sampling to handle the class imbalance problem." Information Processing & Management 44, no. 2 (2008): 790-799.
Allison, Ben, and Louise Guthrie. "Authorship Attribution of E-Mail: Comparing Classifiers over a New Corpus for Evaluation." In LREC. 2008.
Juola, Patrick. "Authorship attribution." Foundations and Trends® in Information Retrieval 1, no. 3 (2008): 233-334.
Stamatatos, Efstathios. "A survey of modern authorship attribution methods." Journal of the American Society for information Science and Technology 60, no. 3 (2009): 538-556.
