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CROWD-SOURCES SYSTEM FOR AUTOMATIC MODELING OF SUPPLY-CHAIN AND OWNERSHIP INTERDEPENDENCIES THROUGH NATURAL LANGUAGE MINING OF MEDIA DATA
CROWD-SOURCES SYSTEM FOR AUTOMATIC MODELING OF SUPPLY-CHAIN AND OWNERSHIP INTERDEPENDENCIES THROUGH NATURAL LANGUAGE MINING OF MEDIA DATA
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机译:通过自然语言挖掘媒体数据的供应链和所有权依赖关系自动建模的人群资源系统
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摘要
According to some embodiments, natural language processing may be employed on media data to discover events pertaining to—and, including changes in—ownership (including mergers and acquisitions) and supplier/client relationships between corporations (and other entities) in such a manner that the system may maintain and automatically update a computerized model of the events and the attendant relationship between the entities, including but not limited to monitoring risk to corporate reputation across the supply chain.
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