Discovering author interest evolution in order-sensitive and Semantic-aware topic modeling

Information Sciences, pp. 271-286, 2019.

Cited by: 0|Views10


Modeling the interests of authors over time from documents has important applications in broad applications such as recommendation systems, authorship identification and opinion extraction. In this paper, we propose an Ordering-sensitive and Semantic-aware Dynamic Author Topic Model (OSDATM), which monitors the evolution of author interes...More



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