- 专利标题: SYSTEMS AND METHODS FOR CONTENT EXTRACTION FROM A MARK-UP LANGUAGE TEXT ACCESSIBLE AT AN INTERNET DOMAIN
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申请号: US16112309申请日: 2018-08-24
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公开(公告)号: US20190228056A1公开(公告)日: 2019-07-25
- 发明人: Suhit Gupta , Gail Kaiser , Salvatore J. Stolfo
- 申请人: Suhit Gupta , Gail Kaiser , Salvatore J. Stolfo
- 申请人地址: US NY New York
- 专利权人: The Trustees of Columbia University in the City of New York
- 当前专利权人: The Trustees of Columbia University in the City of New York
- 当前专利权人地址: US NY New York
- 主分类号: G06F17/22
- IPC分类号: G06F17/22 ; G06F16/951 ; G06F16/80 ; G06F16/84
摘要:
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.
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