Invention Grant
US09542480B2 Systems and methods for programatically classifying text using category filtration
有权
使用类别过滤对文本进行程序分类的系统和方法
- Patent Title: Systems and methods for programatically classifying text using category filtration
- Patent Title (中): 使用类别过滤对文本进行程序分类的系统和方法
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Application No.: US13968332Application Date: 2013-08-15
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Publication No.: US09542480B2Publication Date: 2017-01-10
- Inventor: Michael Jason Welch , Aditya Vailaya , Ralph Rizkallah Rabbat , Jiang Wu
- Applicant: BARNESANDNOBLE.COM LLC
- Applicant Address: US NY New York
- Assignee: Nook Digital, LLC
- Current Assignee: Nook Digital, LLC
- Current Assignee Address: US NY New York
- Agency: Finch & Maloney PLLC
- Main IPC: G06F17/30
- IPC: G06F17/30

Abstract:
Systems and methods for programmatically causing a machine to classify and extract the meaning of text are discussed herein. Some embodiments may provide for a system including circuitry configured to identify topics associated with a block of text and one or more categories for each of the topics. Each unique category across the one or more categories may be further associated with one or more levels of parent and/or child categories to form an expanded category set of category nodes having parent-child relationships. Based on a number of category nodes connected to each unique category, the circuitry may be configured to determine one or more filtered categories from the unique categories and one or more filtered topics. Filtered topics or categories may be used to programmatically classify text with a more relevant data set than may be possible without the filtering.
Public/Granted literature
- US20150052127A1 SYSTEMS AND METHODS FOR PROGRAMATICALLY CLASSIFYING TEXT USING CATEGORY FILTRATION Public/Granted day:2015-02-19
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