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Keyword: Latent Dirichlet AllocationOpen AccessArticle
5 Pages, 725 KB 
TPMTM: Topic Modeling over Papers’ Abstract
Abstract:
Probabilities topic models are active research area in text mining, machine learning, information retrieval, etc. Most of the current statistical topic modeling methods, such as Probabilistic Latent Semantic Analysis (pLSA) and Latent Dirichlet Allocation (LDA). They are used to build models from unstructured text and produce a term-based representation to describe a topic by choosing…
Read More(This article belongs to the SP4 (Special issue on Advancement in Engineering Technology 2017-18) & Section Interdisciplinary Applications of Computer Science (CSI))