Invention Grant
- Patent Title: Systems and methods for content extraction from a mark-up language text accessible at an internet domain
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Application No.: US16112309Application Date: 2018-08-24
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Publication No.: US10650087B2Publication Date: 2020-05-12
- Inventor: Suhit Gupta , Gail Kaiser , Salvatore J. Stolfo
- Applicant: The Trustees of Columbia University in the City of New York
- Applicant Address: US NY New York
- Assignee: The Trustees of Columbia University in the City of New York
- Current Assignee: The Trustees of Columbia University in the City of New York
- Current Assignee Address: US NY New York
- Agency: Byrne Poh LLP
- Main IPC: G06F16/95
- IPC: G06F16/95 ; G06F17/22 ; G06F16/80 ; G06F16/84 ; G06F16/951

Abstract:
Systems and methods are presented for content extraction from markup language text. The content extraction process may parse markup language text into a hierarchical data model and then apply one or more filters. Output filters may be used to make the process more versatile. The operation of the content extraction process and the one or more filters may be controlled by one or more settings set by a user, or automatically by a classifier. The classifier may automatically enter settings by classifying markup language text and entering settings based on this classification. Automatic classification may be performed by clustering unclassified markup language texts with previously classified markup language texts.
Public/Granted literature
- US20190228056A1 SYSTEMS AND METHODS FOR CONTENT EXTRACTION FROM A MARK-UP LANGUAGE TEXT ACCESSIBLE AT AN INTERNET DOMAIN Public/Granted day:2019-07-25
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