Topic Modeling with Document Relative Similarities

Topic modeling has been widely used in text mining. Previous topic models such as Latent Dirichlet Allocation (LDA) are successful in learning hidden topics but they do not take into account metadata of documents. To tackle this problem, many augmented topic models have been proposed to jointly mode...

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Bibliographic Details
Main Authors: DU, Jianguang, Jing JIANG, SONG, Dandan, LIAO, Lejian
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2015
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Online Access:https://ink.library.smu.edu.sg/sis_research/3070
https://ink.library.smu.edu.sg/context/sis_research/article/4070/viewcontent/P_ID_52343_IJCAI15_488_TopicModelingDocRelSimilarities.pdf
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Institution: Singapore Management University
Language: English
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