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公开(公告)号：WO2020018370A9
公开(公告)日：2020-01-23
申请号：PCT/US2019/041590
申请日：2019-07-12
Applicant: NETAPP, INC.
Inventor： LEIBOVITZ, Guy , BALI, Adam
Abstract: A method comprising operating at least one hardware processor for: receiving, as input, a plurality of electronic documents, training a machine learning classifier based, at least on part, on a training set comprising: (i) labels associated with the electronic documents, (ii) raw text from each of said plurality of electronic documents, and (iii) a rasterized version of each of said plurality of electronic documents, and applying said machine learning classifier to classify one or more new electronic documents.
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公开(公告)号：WO2020018370A1
公开(公告)日：2020-01-23
申请号：PCT/US2019/041590
申请日：2019-07-12
Applicant: NETAPP, INC.
Inventor： LEIBOVITZ, Guy , BALI, Adam
Abstract: A method comprising operating at least one hardware processor for: receiving, as input, a plurality of electronic documents, training a machine learning classifier based, at least on part, on a training set comprising: (i) labels associated with the electronic documents, (ii) raw text from each of said plurality of electronic documents, and (iii) a rasterized version of each of said plurality of electronic documents, and applying said machine learning classifier to classify one or more new electronic documents.
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