公开(公告)号：US11238313B2

公开(公告)日：2022-02-01

申请号：US16559322

申请日：2019-09-03

Applicant: KYOCERA DOCUMENT SOLUTIONS INC.

Inventor： Hooman Majidzadeh Rezvani ,  Andrii Matiukhov ,  Takashi Oguma ,  Sang Lee ,  Charles Henze ,  Hiroshi Manabe ,  Christian Olmstead Holmes

IPC: G06K9/62 ,  G06K9/00 ,  G06N20/00

Abstract: Automatic document classification using machine learning may involve receiving inputs that assign documents to classifiers, which define document classification rules for a classification model. The computing device may train the classification model using a machine learning technique that assigns each document of a second set of documents to destinations based on the document classification rules. The computing device may also receive a template design for each destination that specifies metadata to extract for a document type corresponding to documents assigned to the destination. The computing device may subsequently classifying a particular document using the classification model, which may involve assigning the particular document to a given destination of the plurality of destinations based on the document classification rules, and exporting metadata from the particular document using the template design associated with the given destination.

公开(公告)号：US20210064866A1

公开(公告)日：2021-03-04

申请号：US16559322

申请日：2019-09-03

Applicant: KYOCERA DOCUMENT SOLUTIONS INC.

Inventor： Hooman Majidzadeh Rezvani ,  Andrii Matiukhov ,  Takashi Oguma ,  Sang Lee ,  Charles Henze ,  Hiroshi Manabe ,  Christian Olmstead Holmes

IPC: G06K9/00 ,  G06N20/00 ,  G06K9/62

Abstract: Automatic document classification using machine learning may involve receiving inputs that assign documents to classifiers, which define document classification rules for a classification model. The computing device may train the classification model using a machine learning technique that assigns each document of a second set of documents to destinations based on the document classification rules. The computing device may also receive a template design for each destination that specifies metadata to extract for a document type corresponding to documents assigned to the destination. The computing device may subsequently classifying a particular document using the classification model, which may involve assigning the particular document to a given destination of the plurality of destinations based on the document classification rules, and exporting metadata from the particular document using the template design associated with the given destination.