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1. (WO2017151899) DETERMINING KEY CONCEPTS IN DOCUMENTS BASED ON A UNIVERSAL CONCEPT GRAPH

Pub. No.:    WO/2017/151899    International Application No.:    PCT/US2017/020420
Publication Date: Sat Sep 09 01:59:59 CEST 2017 International Filing Date: Fri Mar 03 00:59:59 CET 2017
IPC: G06F 17/30
G06N 5/02
G06N 5/00
H04L 12/58
G06Q 50/00
Applicants: MICROSOFT TECHNOLOGY LICENSING, LLC
Inventors: KENTHAPADI, Krishnaram
BORISYUK, Fedor Vladimirovich
JAIN, Parul
Title: DETERMINING KEY CONCEPTS IN DOCUMENTS BASED ON A UNIVERSAL CONCEPT GRAPH
Abstract:
A machine may be configured to determining key concepts in documents. For example, the machine accesses a universal concept graph that includes a first set of nodes that represent concept phrases derived from internal documents associated with a social networking service (SNS) and external documents that are external to the SNS, and a first set of edges that connect a plurality of nodes of the first set of nodes. The machine accesses a content object associated with the SNS. The machine generates an induced concept graph associated with the content object based on an analysis of the content object and the universal concept graph. The machine identifies one or more key concept phrases in the content object based on applying one or more key concept selection algorithms to the induced concept graph. The machine stores the one or more key concept phrases in a record of a database.