Statistical Models for Authorship Attribution

Author:

Khomytska Iryna,Teslyuk VasylORCID

Publisher

Springer International Publishing

Reference37 articles.

1. Argamon, S., Koppel, M., Pennebaker, J., Schler, J.: Automatically profiling the author of an anonymous text. Commun. ACM 52(2), 119–123 (2009)

2. Lytvyn, V.: Development of a method for the recognition of author’s style in the Ukrainian language texts based on linguometry, stylemetry and glottochronology. Eastern Eur. J. Enterp. Technol. 4/2(88), 10–18 (2017)

3. Mubin, S.T., Rajesh, S.P.: Authorship identification with multi sequence word selection method. In: Thermal Stresses—Advanced Theory and Applications, pp. 653–661 (2019). https://doi.org/10.1007/978-3-030-16657-1_61

4. Jamak, A., Alen, S., Can, M.: Principal component analysis for authorship attribution. Bus. Syst. Res. 3(2), 49–56 (2012)

5. Zhao, Y., Zobel, J.: Searching with style: authorship attribution in classic literature. In: Proceedings of the Thirtieth Australasian Conference on Computer Science, Australian Computer Society, vol. 62, pp. 59–68 (2007)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Weighted TF-IDF-based Approach for Authorship Attribution;2021 11th International Conference on Computer Engineering and Knowledge (ICCKE);2021-10-28

2. Software-Based Approach towards Automated Authorship Acknowledgement—Chi-Square Test on One Consonant Group;Electronics;2020-07-13

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