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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Main Authors: | , , , |
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Format: | text |
Language: | English |
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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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