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Báo cáo khoa học: "A systematic understanding of probabilistic semantic extraction in large corpus"

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Báo cáo khoa học: "A systematic understanding of probabilistic semantic extraction in large corpus"

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Probabilistic topic models have recently gained much popularity in informational retrieval and related areas. Via such models, one can project high-dimensional objects such as text documents into a low dimensional space where their latent semantics are captured and modeled; can integrate multiple sources of information—to ”share statistical strength” among components of a hierarchical probabilistic model; and can structurally display and classify the otherwise unstructured object collections. ...

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