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http://cris.utm.md/handle/5014/258| Title: | Can Computers Catch the Authors Style? | Authors: | BOBICEV, Victoria HLAVCHEVA, Yulia KANISHCHEVA, Olga |
Keywords: | text classification;authorship attribution;topic classification;machine learning methods;character based learning | Issue Date: | 2019 | Source: | BOBICEV, V.; HLAVCEVA, Y.; KANISHCHEVA, O. Can Computers Catch the Authors Style? In: Proceedings of the 5-th Conference of Mathematical Society of Moldova, IMCS- 2019, September 28-October 1, 2019, Chisinau, Moldova, pp. 293-296, ISBN 978-9975-68- 378-4 | Project: | Models, methods and interfaces for control and optimization of intelligent manufacturing systems / Modele, metode și interfețe pentru conducerea și optimizarea sistemelor de fabricație inteligente | Journal: | Proceedings of the 5-th Conference of Mathematical Society of Moldova | Conference: | IMCS-2019 | Abstract: | The paper presents the experiments on authorship attribution for scientific articles written in Russian and Ukrainian. The main aim of this research is to explore the topic influence on author classification. |
URI: | http://cris.utm.md/handle/5014/258 | ISBN: | 978-9975-68- 378-4 |
| Appears in Collections: | Proceedings Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 293-296_6.pdf | 526.07 kB | Adobe PDF | View/Open |
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