公开(公告)号：US11443416B2

公开(公告)日：2022-09-13

申请号：US17397470

申请日：2021-08-09

Applicant: SAS Institute Inc.

Inventor： Yi Liao ,  Charles Franklin Board ,  William Robert Nadolski ,  David James Wheaton ,  Heather Michelle Goodykoontz ,  Adheesha Sanjuaya Arangala ,  Karthik Nakkeeran

IPC: G06K9/00 ,  G06T7/00 ,  G06F16/81 ,  G06F16/93 ,  G06F40/284 ,  G06F40/186 ,  G06F40/169 ,  G06F3/04842 ,  G06V10/40 ,  G06K9/62 ,  G06V30/10 ,  G06V30/24 ,  G06V30/418

Abstract: Various embodiments are generally directed to techniques for image content extraction. Some embodiments include extracting contextually structured data from document images, such as by automatically identifying document layout, document data, document metadata, and/or correlations therebetween in a document image, for instance. Several embodiments include extracting contextually structured data from table images, such as gridded and non-gridded tables. For example, the contents of cells may be extracted from a table image along with structural context including the corresponding row and column information. Many embodiments are directed to generating and utilizing a document template database for automatically extracting document image contents into a contextually structured format. Several embodiments are directed to automatically identifying and associating document metadata with corresponding document data in a document image to generate a machine-facilitated annotation of the document image. In some embodiments, the machine-facilitated annotation may be used to generate a template for the template database.

公开(公告)号：US20210366099A1

公开(公告)日：2021-11-25

申请号：US17397470

申请日：2021-08-09

Applicant: SAS Institute Inc.

Inventor： Yi Liao ,  Charles Franklin Board ,  William Robert Nadolski ,  David James Wheaton ,  Heather Michelle Goodykoontz ,  Adheesha Sanjuaya Arangala ,  Karthik Nakkeeran

IPC: G06T7/00 ,  G06F16/81 ,  G06F16/93 ,  G06F40/284 ,  G06F40/186 ,  G06F40/169 ,  G06F3/0484 ,  G06K9/46

Abstract: Various embodiments are generally directed to techniques for image content extraction. Some embodiments include extracting contextually structured data from document images, such as by automatically identifying document layout, document data, document metadata, and/or correlations therebetween in a document image, for instance. Several embodiments include extracting contextually structured data from table images, such as gridded and non-gridded tables. For example, the contents of cells may be extracted from a table image along with structural context including the corresponding row and column information. Many embodiments are directed to generating and utilizing a document template database for automatically extracting document image contents into a contextually structured format. Several embodiments are directed to automatically identifying and associating document metadata with corresponding document data in a document image to generate a machine-facilitated annotation of the document image. In some embodiments, the machine-facilitated annotation may be used to generate a template for the template database.

公开(公告)号：US09201866B2

公开(公告)日：2015-12-01

申请号：US14592807

申请日：2015-01-08

Applicant: SAS Institute INC.

Inventor： Thomas Lehman ,  Jody Porowski ,  Bruce Monroe Mills ,  Michael T. Brooks ,  Heather Michelle Goodykoontz

IPC: G06F17/27

CPC classification number: G06F17/2785 ,  G06F17/274

Abstract: Computer-implemented systems and methods are provided for determining an overall mood score of a document. For example, the document is received from a computer-readable medium. A text segment in a document is identified to be indicative of a mood of the document. The text segment is mapped to a mood scale among a predetermined set of mood scales. A mood weight associated with the mood scale for the text segment is generated. An overall mood score of the document is determined based at least in part on the mood weight.

公开(公告)号：US20150120283A1

公开(公告)日：2015-04-30

申请号：US14592807

申请日：2015-01-08

Applicant: SAS Institute INC.

Inventor： THOMAS LEHMAN ,  Jody Porowski ,  Bruce Monroe Mills ,  Michael T. Brooks ,  Heather Michelle Goodykoontz

IPC: G06F17/27

CPC classification number: G06F17/2785 ,  G06F17/274

Abstract: Computer-implemented systems and methods are provided for determining an overall mood score of a document. For example, the document is received from a computer-readable medium. A text segment in a document is identified to be indicative of a mood of the document. The text segment is mapped to a mood scale among a predetermined set of mood scales. A mood weight associated with the mood scale for the text segment is generated. An overall mood score of the document is determined based at least in part on the mood weight.

Abstract translation: 提供计算机实现的系统和方法来确定文档的整体情绪分数。 例如，从计算机可读介质接收文档。 文档中的文本段被标识为表示文档的情绪。 文本段被映射到预定的一组情绪量表中的情绪量表。 生成与文本段的心情量表相关联的情绪权重。 至少部分地基于情绪重量来确定文档的整体情绪评分。