{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T09:52:27Z","timestamp":1762509147232,"version":"build-2065373602"},"reference-count":0,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2024,6,5]],"date-time":"2024-06-05T00:00:00Z","timestamp":1717545600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Erasmus+ 2022-2024 program in KA171","award":["2022-1-EL01-KA171-HED-000074817","G VOLOS01","E10291793"],"award-info":[{"award-number":["2022-1-EL01-KA171-HED-000074817","G VOLOS01","E10291793"]}]},{"name":"University of Thessaly","award":["2022-1-EL01-KA171-HED-000074817","G VOLOS01","E10291793"],"award-info":[{"award-number":["2022-1-EL01-KA171-HED-000074817","G VOLOS01","E10291793"]}]},{"name":"Institute of Control Systems of Azerbaijan National Academy of Sciences","award":["2022-1-EL01-KA171-HED-000074817","G VOLOS01","E10291793"],"award-info":[{"award-number":["2022-1-EL01-KA171-HED-000074817","G VOLOS01","E10291793"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>This paper presents various machine learning methods with different text features that are explored and evaluated to determine the authorship of the texts in the example of the Azerbaijani language. We consider techniques like artificial neural network, convolutional neural network, random forest, and support vector machine. These techniques are used with different text features like word length, sentence length, combined word length and sentence length, n-grams, and word frequencies. The models were trained and tested on the works of many famous Azerbaijani writers. The results of computer experiments obtained by utilizing a comparison of various techniques and text features were analyzed. The cases where the usage of text features allowed better results were determined.<\/jats:p>","DOI":"10.3390\/a17060242","type":"journal-article","created":{"date-parts":[[2024,6,5]],"date-time":"2024-06-05T10:05:50Z","timestamp":1717581950000},"page":"242","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Comparative Study of Machine Learning Methods and Text Features for Text Authorship Recognition in the Example of Azerbaijani Language Texts"],"prefix":"10.3390","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4554-6985","authenticated-orcid":false,"given":"Rustam","family":"Azimov","sequence":"first","affiliation":[{"name":"Laboratory of Recognition, Identification and Methods of Optimal Solutions, Institute of Control Systems, Baku AZ1141, Azerbaijan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0675-4351","authenticated-orcid":false,"given":"Efthimios","family":"Providas","sequence":"additional","affiliation":[{"name":"Department of Environmental Sciences, University of Thessaly, 415 00 Larissa, Greece"}]}],"member":"1968","published-online":{"date-parts":[[2024,6,5]]},"container-title":["Algorithms"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1999-4893\/17\/6\/242\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T14:54:18Z","timestamp":1760108058000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1999-4893\/17\/6\/242"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,5]]},"references-count":0,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2024,6]]}},"alternative-id":["a17060242"],"URL":"https:\/\/doi.org\/10.3390\/a17060242","relation":{},"ISSN":["1999-4893"],"issn-type":[{"type":"electronic","value":"1999-4893"}],"subject":[],"published":{"date-parts":[[2024,6,5]]}}}