SEMANTIC SIMILARITY ANALYSIS TO DETERMINE RELATEDNESS OF HETEROGENEOUS DATA

A method and system to determine relatedness select a first customer observable from a first source document, the first customer observable being made up of two terms, the two terms being a first term of a first type and a first term of a second type, and select a second customer observable from a s...

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Bibliographic Details
Main Authors Wang, Baiyang, Rajpathak, Dnyanesh G, Cafeo, John A
Format Patent
LanguageEnglish
Published 14.02.2019
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:A method and system to determine relatedness select a first customer observable from a first source document, the first customer observable being made up of two terms, the two terms being a first term of a first type and a first term of a second type, and select a second customer observable from a second source document, the second customer observable being made up of a second term of the first type and a second term of the second type. The method includes creating a first corpus of all documents that include the first terms, creating a second corpus of all documents that include the second terms, obtaining other first terms in the first corpus and other second in the second corpus, and performing semantic similarity analysis to determine a similarity score between the first customer observable and the second customer observable.
Bibliography:Application Number: US201715672643