Invention Grant
- Patent Title: Systems and methods for programatically classifying text using topic classification
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Application No.: US15613880Application Date: 2017-06-05
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Publication No.: US10282771B2Publication Date: 2019-05-07
- Inventor: Michael Jason Welch , Aditya Vailaya , Ralph Rizkallah Rabbat , Jiang Wu
- Applicant: Nook Digital, 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: G06F16/35
- IPC: G06F16/35 ; G06Q30/06

Abstract:
Systems and methods for programmatically classifying text are discussed herein. Some embodiments may provide for a system including circuitry configured to programmatically classify a block of text. For example, the circuitry may be configured to identify topics associated with the block of text and identify one or more categories for each of the topics. The circuitry may be further configured to determine unique categories across the one or more categories for each of the topics. For each unique category, an actual category frequency may be determined based on a number of times each of the topics in the block of text is associated with the unique category. The circuitry may be further configured to associate a unique category with the block of text based on the actual category frequency for each the unique category and one or more other actual category frequencies for one or more other unique categories.
Public/Granted literature
- US20170308950A1 SYSTEMS AND METHODS FOR PROGRAMATICALLY CLASSIFYING TEXT USING TOPIC CLASSIFICATION Public/Granted day:2017-10-26
Information query