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- W1489022577 abstract "Topic modeling has various applications in organizing and retrieving textual data in document collections. In enterprises, such collections are often distributed across various sites, and collaboratively aggregated at the time of processing. Therefore, the problem of topic modeling over aggregations of data is important. We study the behavior of a standard topic modeling technique-hierarchical Dirichlet process (HDP)-as the underlying data is aggregated. We formulate three axioms that reflect the assumptions that users frequently make when dealing with aggregated data. We empirically demonstrate that HDP does not necessarily satisfy these axioms. We discuss the ramifications of this on applications in enterprise settings." @default.
- W1489022577 created "2016-06-24" @default.
- W1489022577 creator A5077747661 @default.
- W1489022577 date "2014-10-01" @default.
- W1489022577 modified "2023-09-26" @default.
- W1489022577 title "An axiomatic inspection of the behavior of topic models with data aggregation" @default.
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- W1489022577 doi "https://doi.org/10.1109/bigdata.2014.7111660" @default.
- W1489022577 hasPublicationYear "2014" @default.
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