- 专利标题： Document data classification using a noise-to-content ratio
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申请号： US13614858申请日： 2012-09-13
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公开(公告)号： US09773182B1公开(公告)日： 2017-09-26
- 发明人: Bernhard Wolkerstorfer , Lei Li , Narendra S. Parihar
- 申请人： Bernhard Wolkerstorfer , Lei Li , Narendra S. Parihar
- 申请人地址： US NV Reno
- 专利权人： Amazon Technologies, Inc.
- 当前专利权人： Amazon Technologies, Inc.
- 当前专利权人地址： US NV Reno
- 代理机构： Lowenstein Sandler LLP
- 主分类号： G06K9/00
- IPC分类号： G06K9/00 ; G06K9/32
摘要：
A method and system for classifying document data is described. An exemplary method includes identifying a markup language document having a plurality of portions, determining a set of substantive content metrics and a set of noise metrics for each of the plurality of portions, calculating a noise-to-content ratio for each of the plurality of portions based on a corresponding set of substantive content metrics and a corresponding set of noise metrics, and removing noise from the markup language document using the noise-to-content ratio.
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