A study of deep learning methods for same-genre and cross-genre author profiling.

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Bibliographic Details
Title: A study of deep learning methods for same-genre and cross-genre author profiling.
Authors: Ashraf, Muhammad Adnan1 (AUTHOR) adnan.ashraf@mail.nwpu.edu.cn, Adeel Nawab, Rao Muhammad2 (AUTHOR), Nie, Feiping1 (AUTHOR), Pinto, David (AUTHOR), Singh, Vivek (AUTHOR), Perez, Fernando (AUTHOR)
Source: Journal of Intelligent & Fuzzy Systems. 2020, Vol. 39 Issue 2, p2353-2363. 11p.
Database: Mathematics Source
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ISSN:10641246
DOI:10.3233/JIFS-179896