Abstract
Author identification appears to be one of the blooming research areas in the domain of Natural Language Processing (NLP) which helps in identifying the particular author of a respective piece of text. Every author has a unique style of writing based on the linguistic and stylistic study that helps in identifying one author from another. This paper aims to present an author identification technique that uses similarity-based textual features to train the ensemble of nested dichotomies learning model for identification of different authors depending on their writing patterns. Experiments were performed over 12,000 passages (approx.) with 32,37,80,594 tokens from 50 authors obtained from Bangla literature and the highest accuracy of 96.67% was obtained.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Stamatatos, E.: A survey of modern authorship attribution methods. J. Am. Soc. Inform. Sci. Technol. 60(3), 538–556 (2009)
Anisuzzaman, D.M., Salam, A.: Authorship attribution for Bengali language using the fusion of N-gram and Naïve Bayes algorithms. Int. J. Inf. Technol. Comput. Sci. 10, 11–21 (2018)
Das, S., Mitra, P.: Author identification in Bengali literary works. In: Kuznetsov, S.O., Mandal, D.P., Kundu, M.K., Pal, S.K. (eds.) PReMI 2011. LNCS, vol. 6744, pp. 220–226. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-21786-9_37
Madigan, D., Genkin, A., Lewis, D.D., Argamon, S., Fradkin, D., Ye, L.: Author identification on the large scale. In: Proceedings of the Meeting of the Classification Society of North America, vol. 13 (2005)
Alharthi, H., Inkpen, D., Szpakowicz, S.: Authorship identification for literary book recommendations. In: Proceedings of the 27th International Conference on Computational Linguistics, pp. 390–400 (2018)
Pandian, A., Manikandan, K., Ramalingam, V., Bhowmick, P., Vaishnavi, S.: Author identification of Bengali poems. Int. J. Eng. Technol. 7, 17–21 (2018)
Chakraborty, T., Choudhury, P.: Authorship identification in Bengali language: a graph based approach. In: 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 443–446. IEEE (2016)
Rakshit, G., Ghosh, A., Bhattacharyya, P., Haffari, G.: Automated analysis of Bangla poetry for classification and poet identification. In: Proceedings of the 12th International Conference on Natural Language Processing, pp. 247–253 (2015)
Digamberrao, K.S., Prasad, R.S.: Author identification using sequential minimal optimization with rule-based decision tree on Indian literature in Marathi. Procedia Comput. Sci. 132, 1086–1101 (2018)
Otoom, A.F., Abdullah, E.E., Jaafer, S., Hamdallh, A., Amer, D.: Towards author identification of Arabic text articles. In: 2014 5th International Conference on Information and Communication Systems (ICICS), pp. 1–4. IEEE (2014)
Rexha, A., Kröll, M., Ziak, H., Kern, R.: Authorship identification of documents with high content similarity. Scientometrics 115(1), 223–237 (2018)
Abbasi, A., Chen, H.: Applying authorship analysis to extremist-group web forum messages. IEEE Intell. Syst. 20(5), 67–75 (2005)
Ethnologue. https://www.ethnologue.com/language/ben,2019
Stopword. https://www.isical.ac.in/~fire/data/stopwords_list_ben.txt
Frank, E., Kramer, S.: Ensembles of nested dichotomies for multi-class problems. In: Proceedings of the Twenty-First International Conference on Machine Learning, p. 39. ACM (2004)
Dong, L., Frank, E., Kramer, S.: Ensembles of balanced nested dichotomies for multi-class problems. In: Jorge, A.M., Torgo, L., Brazdil, P., Camacho, R., Gama, J. (eds.) PKDD 2005. LNCS (LNAI), vol. 3721, pp. 84–95. Springer, Heidelberg (2005). https://doi.org/10.1007/11564126_13
Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The WEKA data mining software: an update. ACM SIGKDD Explor. Newsl. 11(1), 10–18 (2009)
Islam, M.A., Kabir, M.M., Islam, M.S., Tasnim, A.: Authorship attribution on Bengali literature using stylometric features and neural network. In: 2018 4th International Conference on Electrical Engineering and Information & Communication Technology, pp. 360–363. IEEE, September 2018
Acknowledgement
One of the authors thanks DST for support in the form of an INSPIRE fellowship. Also, we thank Dr. Amitabha Biswas, Assistant Professor of Bengali department, WBSU, Ankita Shaw, and Shilpa Roy, students of Comp. Sc. Dept, WBSU for their help while developing the dataset used in the experiment.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Dhar, A., Mukherjee, H., Obaidullah, S.M., Roy, K. (2021). Ensemble of Nested Dichotomies for Author Identification System Using Similarity-Based Textual Features. In: Santosh, K.C., Gawali, B. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2020. Communications in Computer and Information Science, vol 1380. Springer, Singapore. https://doi.org/10.1007/978-981-16-0507-9_11
Download citation
DOI: https://doi.org/10.1007/978-981-16-0507-9_11
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-0506-2
Online ISBN: 978-981-16-0507-9
eBook Packages: Computer ScienceComputer Science (R0)