CompareLDA: A topic model for document comparison

A number of real-world applications require comparison of entities based on their textual representations. In this work, we develop a topic model supervised by pairwise comparisons of documents. Such a model seeks to yield topics that help to differentiate entities along some dimension of interest,...

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Bibliographic Details
Main Authors: TKACHENKO, Maksim, LAUW, Hady Wirawan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2019
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Online Access:https://ink.library.smu.edu.sg/sis_research/4698
https://ink.library.smu.edu.sg/context/sis_research/article/5701/viewcontent/aaai19b.pdf
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Institution: Singapore Management University
Language: English