发明授权
- 专利标题: System and methods for quantitative assessment of information in natural language contents and for determining relevance using association data
- 专利标题(中): 用于定量评估自然语言内容信息的系统和方法,并使用关联数据确定相关性
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申请号: US13732374申请日: 2013-01-01
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公开(公告)号: US09201927B1公开(公告)日: 2015-12-01
- 发明人: Guangsheng Zhang
- 申请人: Guangsheng Zhang
- 主分类号: G06F7/00
- IPC分类号: G06F7/00 ; G06F17/30
摘要:
System and methods are disclosed for quantitatively assessing information in natural language contents related to an object name, or a concept or topic name, and for determining the relevance between a text content and one or more concepts or topics. The methods include identifying the grammatical or semantic attributes and other contextual information of terms in the text content, and retrieving an object-specific dataset related to the object name, or an equivalent to a concept or a topic name. The data set includes property names and association-strength values. The methods further include matching the terms in the text content with the property terms in the dataset, and calculating a score as a quantitative measure of the relevance between the text content and the concept or topic.
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