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公开(公告)号:US10417270B2
公开(公告)日:2019-09-17
申请号:US15715583
申请日:2017-09-26
Applicant: Avast Software B.V.
Inventor: Shaul Levi , Valery Kholodkov , Yuval Ben-Itzhak
Abstract: In a system for extracting policy information from text, a processor analyzes if the text is relevant to a top-level category, and then determines if at least a portion of the text is relevant to categories and subcategories within a taxonomy of categories and subcategories related to the top-level category. If at least a portion of the text is determined to be relevant to the category/subcategory, a classifier extracts policy information associated with the category/subcategory. Using text that includes a known policy the classifiers can be trained to correctly recognize categories/subcategories, and the values associated therewith.
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公开(公告)号:US20180081967A1
公开(公告)日:2018-03-22
申请号:US15715583
申请日:2017-09-26
Applicant: Avast Software B.V.
Inventor: Shaul Levi , Valery Kholodkov , Yuval Ben-Itzhak
CPC classification number: G06F16/345 , G06F16/21 , G06F16/353 , G06K9/00442
Abstract: In a system for extracting policy information from text, a processor analyzes if the text is relevant to a top-level category, and then determines if at least a portion of the text is relevant to categories and subcategories within a taxonomy of categories and subcategories related to the top-level category, If at least a portion of the text is determined to be relevant to the category/subcategory, a classifier extracts policy information associated with the category/subcategory, Using text that includes a known policy the classifiers can be trained to correctly recognize categories/subcategories, and the values associated therewith.
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