Method of automated discovery of topics relatedness
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United States of America Patent
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Jan 10, 2017
Issued Date -
N/A
app pub date -
Dec 2, 2014
filing date -
Dec 2, 2013
priority date (Note) -
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status (Latency Note)
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Abstract
A computer system and method for automated discovery of topic relatedness are disclosed. According to an embodiment, topics within documents from a corpus may be discovered by applying multiple topic identification (ID) models, such as multi-component latent Dirichlet allocation (MC-LDA) or similar methods. Each topic model may differ in a number of topics. Discovered topics may be linked to the associated document. Relatedness between discovered topics may be determined by analyzing co-occurring topic IDs from the different models, assigning topic relatedness scores, where related topics may be used for matching/linking a feature of interest. The disclosed method may have an increased disambiguation precision, and may allow the matching and linking of documents using the discovered relationships.
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