A Topic Drift Model for authorship attribution

Neurocomputing, pp. 133-140, 2018.

Cited by: 8|Views55


Authorship attribution is an active research direction due to its legal and financial importance. Its goal is to identify the authorship from the anonymous texts. In this paper, we propose a Topic Drift Model (TDM), which can monitor the dynamicity of authors’ writing styles and learn authors’ interests simultaneously. Unlike previous aut...More



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