[
1. Abuhammad, Y., Addabe, Y., Ayyad, N., & Yahya, A. (2021). Authorship attribution of modern standard Arabic short texts. ACM International Conference Proceeding Series, 1(1), 1–7. https://doi.org/10.1145/3485557.348556310.1145/3485557.3485563
]Search in Google Scholar
[
2. Alanazi, S. A. (2019). Toward identifying features for automatic gender detection: A corpus creation and analysis. IEEE Access, 7(Ii), 111931–111943. https://doi.org/10.1109/ACCESS.2019.293202610.1109/ACCESS.2019.2932026
]Search in Google Scholar
[
3. Alsmearat, K., Al-Ayyoub, M., Al-Shalabi, R., & Kanaan, G. (2017). Author gender identification from Arabic text. Journal of Information Security and Applications, 35, 85–95. https://doi.org/10.1016/j.jisa.2017.06.00310.1016/j.jisa.2017.06.003
]Search in Google Scholar
[
4. Alsmearat, K., Shehab, M., Al-Ayyoub, M., Al-Shalabi, R., & Kanaan, G. (2016). Emotion analysis of Arabic articles and its impact on identifying the author’s gender. Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA, 2016-July (November). https://doi.org/10.1109/AICCSA.2015.750719610.1109/AICCSA.2015.7507196
]Search in Google Scholar
[
5. Brocardo, M. L., Traore, I., Saad, S., & Woungang, I. (2013). Authorship verification for short messages using stylometry. 2013 International Conference on Computer, Information and Telecommunication Systems, CITS 2013. https://doi.org/10.1109/CITS.2013.670571110.1109/CITS.2013.6705711
]Search in Google Scholar
[
6. Canhasi, E., Shijaku, R., & Berisha, E. (2022). Albanian fake news detection. ACM Transactions on Asian and Low-Resource Language Information Processing, February, 0–24. https://doi.org/10.1145/348728810.1145/3487288
]Search in Google Scholar
[
7. Digamberrao, K. S., & Prasad, R. S. (2018). Author Identification on Literature in Different Languages: A Systematic Survey. 2018 International Conference on Advances in Communication and Computing Technology, ICACCT 2018, 174–181. https://doi.org/10.1109/ICACCT.2018.852963510.1109/ICACCT.2018.8529635
]Search in Google Scholar
[
8. El, Sara El Manar and Kassou, I. (2014). Authorship Analysis Studies: A Survey. International Journal of Computer Applications, 86(12), 22–29. https://doi.org/10.5120/15038-338410.5120/15038-3384
]Search in Google Scholar
[
9. Gupta, S. T. P., Sahoo, J. K., & Roul, R. K. (2019). Authorship identification using recurrent neural networks. ACM International Conference Proceeding Series, 133–137. https://doi.org/10.1145/3325917.332593510.1145/3325917.3325935
]Search in Google Scholar
[
10. Holmes, D. I., & Forsyth, R. S. (1995). The Federalist revisited: New directions in authorship attribution. Literary and Linguistic Computing, 10(2), 111–127. https://doi.org/10.1093/llc/10.2.11110.1093/llc/10.2.111
]Search in Google Scholar
[
11. Hoshiladevi Ramnial, S. P. and S. P. (2016). Authorship Attribution Using Stylometry and Machine Learning Techniques. Advances in Intelligent Systems and Computing, 384(August), 247–257. https://doi.org/10.1007/978-3-319-23036-810.1007/978-3-319-23036-8
]Search in Google Scholar
[
12. Hossain, A. S., Akter, N., & Saiful Islam, M. D. (2020). A stylometric approach for author attribution system using neural network and machine learning classifiers. ACM International Conference Proceeding Series. https://doi.org/10.1145/3377049.337707910.1145/3377049.3377079
]Search in Google Scholar
[
13. Hossain, M. R., Hoque, M. M., Dewan, M. A. A., Siddique, N., Islam, M. N., & Sarker, I. H. (2021). Authorship classification in a resource constraint language using convolutional neural networks. IEEE Access, 9, 100319–100338. https://doi.org/10.1109/ACCESS.2021.309596710.1109/ACCESS.2021.3095967
]Search in Google Scholar
[
14. Hriez, S., & Awajan, A. (2020). Authorship Identification for Arabic Texts Using Logistic Model Tree Classification. In Advances in Intelligent Systems and Computing: Vol. 1229 AISC. Springer International Publishing. https://doi.org/10.1007/978-3-030-52246-9_4810.1007/978-3-030-52246-9_48
]Search in Google Scholar
[
15. Khatun, A., Rahman, A., Islam, M. S., & Marium-E-Jannat. (2019). Authorship attribution in bangla literature using character-level CNN. 2019 22nd International Conference on Computer and Information Technology, ICCIT 2019, 18–20. https://doi.org/10.1109/ICCIT48885.2019.903856010.1109/ICCIT48885.2019.9038560
]Search in Google Scholar
[
16. Khdr, A. J., & Varol, C. (2019). Age and Gender Identification by SMS Text Messages. 2018 International Conference on Artificial Intelligence and Data Processing, IDAP 2018, July 2021, 1–5. https://doi.org/10.1109/IDAP.2018.862078010.1109/IDAP.2018.8620780
]Search in Google Scholar
[
17. Koppel, M., Schlier, J., & Argamon, S. (2009). Computational methods in authorship attribution. Journal of the American Society for Information Science and Technology, 60(1), 9–26. https://doi.org/10.1002/asi.2096110.1002/asi.20961
]Search in Google Scholar
[
18. Lagutina, K., Lagutina, N., Boychuk, E., Vorontsova, I., Shliakhtina, E., Belyaeva, O., Paramonov, I., & Demidov, P. G. (2019). A Survey on Stylometric Text Features. Conference of Open Innovation Association, FRUCT, 184–195. https://doi.org/10.23919/FRUCT48121.2019.898150410.23919/FRUCT48121.2019.8981504
]Search in Google Scholar
[
19. Lowe, D., & Matthews, R. (1995). Shakespeare Vs. Fletcher: A stylometric analysis by radial basis functions. Computers and the Humanities, 29(6), 449–461. https://doi.org/10.1007/BF0182987610.1007/BF01829876
]Search in Google Scholar
[
20. Maurya, R. K., Saxena, M. R., & Akhil, N. (2016). Authorship Attribution Using Stylometry and Machine Learning Techniques. Advances in Intelligent Systems and Computing, 384(January 2016), 247–257. https://doi.org/10.1007/978-3-319-23036-810.1007/978-3-319-23036-8
]Search in Google Scholar
[
21. Onan, A. (2018). An ensemble scheme based on language function analysis and feature engineering for text genre classification. Journal of Information Science, 44(1), 28–47. https://doi.org/10.1177/016555151667791110.1177/0165551516677911
]Search in Google Scholar
[
22. Paci, H., Kajo, E., Trandafili, E., Tafa, I., & Salillari, D. (2011). Author identification in Albanian language. Proceedings - 2011 International Conference on Network-Based Information Systems, NBiS 2011, 425–430. https://doi.org/10.1109/NBiS.2011.7110.1109/NBiS.2011.71
]Search in Google Scholar
[
23. Phani, S., Lahiri, S., & Biswas, A. (2017). A supervised learning approach for Authorship attribution of Bengali literary texts. ACM Transactions on Asian and Low-Resource Language Information Processing, 16(4), 15. https://doi.org/10.1145/309947310.1145/3099473
]Search in Google Scholar
[
24. Potha, N., & Stamatatos, E. (2014). A profile-based method for authorship verification. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8445 LNCS, 313–326. https://doi.org/10.1007/978-3-319-07064-3_2510.1007/978-3-319-07064-3_25
]Search in Google Scholar
[
25. Sharon Belvisi, N. M., Muhammad, N., & Alonso-Fernandez, F. (2020). Forensic Authorship Analysis of Microblogging Texts Using N-Grams and Stylometric Features. 2020 8th International Workshop on Biometrics and Forensics, IWBF 2020 - Proceedings, 1–6. https://doi.org/10.1109/IWBF49977.2020.910795310.1109/IWBF49977.2020.9107953
]Search in Google Scholar
[
26. Stamatatos, E., Fakotakis, N., & Kokkinakis, G. (2001). Automatic text categorization in Terms of Genre and Author. Computational Linguistics, 26(4), 471–495. http://casa.disi.unitn.it/~moschitt/books/Book2005-reduced.pdf
]Search in Google Scholar
[
27. Varela, P., Justino, E., Britto, A., & Bortolozzi, F. (2016). A computational approach for authorship attribution of literary texts using sintatic features. Proceedings of the International Joint Conference on Neural Networks, 2016-Octob(May 2021), 4835–4842. https://doi.org/10.1109/IJCNN.2016.772783510.1109/IJCNN.2016.7727835
]Search in Google Scholar
[
28. Zhou, A., Zhang, Y., & Lu, M. (2022). C-Transformer Model in Chinese Poetry Authorship Attribution. International Journal of Innovative Computing, Information and Control, 18(3), 901–916. https://doi.org/10.24507/ijicic.18.03.901
]Search in Google Scholar
[
29. Zobel, Y. Z. and J. (2005). Effective and Scalable Authorship Attribution Using Function Words BT - AIRS 2005, LNCS 3689. Airs 2005, Lncs 3689, 174–189. papers2://publication/uuid/97C99154-6116-4BBD-85CC-3BE690928DF5
]Search in Google Scholar