Post-Authorship Attribution Using Regularized Deep Neural Network
Post-authorship attribution is a scientific process of using stylometric features to identify the genuine writer of an online text snippet such as an email, blog, forum post, or chat log. It has useful applications in manifold domains, for instance, in a verification process to proactively detect mi...
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| Huvudupphov: | , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
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MDPI AG
2022-07-01
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| Serie: | Applied Sciences |
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| Länkar: | https://www.mdpi.com/2076-3417/12/15/7518 |
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