公开(公告)号：US20140195897A1

公开(公告)日：2014-07-10

申请号：US14235876

申请日：2011-09-20

Applicant: Helen Y. Balinsky ,  Alexander Balinsky ,  Steven J. Simske

Inventor： Helen Y. Balinsky ,  Alexander Balinsky ,  Steven J. Simske

IPC: G06F17/21

CPC classification number: G06F17/212 ,  G06F16/345

Abstract: Methods, systems, and computer readable media with executable instructions, and/or logic are provided for text summarization. An example method of text summarization can include determining, via a computing system (674), a graph (314) with a small world structure, corresponding to a document (300) comprising text, wherein nodes (316) of the graph (314) correspond to text features (302, 304) of the document (300) and edges (318) between particular nodes (316) represent relationships between the text features (302, 304) represented by the particular nodes (316) (440). The nodes (316) (442) are ranked via the computing system (674), and those nodes (316) having importance in the small world structure (444) are identified via the computing system. Text features (302, 304) corresponding to the indentified nodes (316) are selected, via the computing system (674), as a summary (334) of the document (300) (446).

Abstract translation: 提供了具有可执行指令和/或逻辑的方法，系统和计算机可读介质用于文本概括。 文本摘要的示例性方法可以包括通过计算系统（674）确定与包括文本的文档（300）相对应的具有小世界结构的图形（314），其中图形（314）的节点（316） 对应于文档（300）的文本特征（302,304），并且特定节点（316）之间的边缘（318）表示由特定节点（316）（440）表示的文本特征（302,304）之间的关系。 通过计算系统（674）对节点（316）（442）进行排名，并且通过计算系统识别在小世界结构（444）中具有重要性的那些节点（316）。 作为文件（300）（446）的总结（334），经由计算系统（674）选择与识别节点（316）对应的文本特征（302,304）。

公开(公告)号：US08375022B2

公开(公告)日：2013-02-12

申请号：US12938288

申请日：2010-11-02

Applicant: Helen Balinsky ,  Alexander Balinsky ,  Steven J Simske

Inventor： Helen Balinsky ,  Alexander Balinsky ,  Steven J Simske

IPC: G06F7/00

CPC classification number: G06F17/30675

Abstract: Example embodiments relate to keyword determination based on a weight of meaningfulness. In example embodiments, a computing device may determine a number of occurrences of a word in a particular document and may then determine a weight of meaningfulness for the word based on the number of occurrences. The computing device may then add the word to a set of keywords for the document based on the weight of meaningfulness.

Abstract translation: 示例性实施例涉及基于有意义的权重的关键字确定。 在示例实施例中，计算设备可以确定特定文档中的单词的出现次数，然后可以基于出现次数来确定单词的有意义的权重。 然后，计算设备可以基于有意义的权重将单词添加到文档的一组关键字。

公开(公告)号：US20120109977A1

公开(公告)日：2012-05-03

申请号：US12938288

申请日：2010-11-02

Applicant: Helen Balinsky ,  Alexander Balinsky ,  Steven J. Simske

Inventor： Helen Balinsky ,  Alexander Balinsky ,  Steven J. Simske

IPC: G06F17/30

CPC classification number: G06F17/30675

Abstract: Example embodiments relate to keyword determination based on a weight of meaningfulness. In example embodiments, a computing device may determine a number of occurrences of a word in a particular document and may then determine a weight of meaningfulness for the word based on the number of occurrences. The computing device may then add the word to a set of keywords for the document based on the weight of meaningfulness.

Abstract translation: 示例性实施例涉及基于有意义的权重的关键字确定。 在示例实施例中，计算设备可以确定特定文档中的单词的出现次数，然后可以基于出现次数来确定单词的有意义的权重。 然后，计算设备可以基于有意义的权重将单词添加到文档的一组关键字。