首页>
外国专利>
MACHINE LEARNING TECHNIQUES FOR ANALYZING TEXTUAL CONTENT
MACHINE LEARNING TECHNIQUES FOR ANALYZING TEXTUAL CONTENT
展开▼
机译:用于分析文本内容的机器学习技术
展开▼
页面导航
摘要
著录项
相似文献
摘要
Techniques are provided for using machine learning techniques to analyze textual content. In one technique, a potential item is identified within a document. An analysis of the potential item is performed at multiple levels of granularity that includes two or more of a sentence level, a segment level, or a document level. The analysis produces multiple outputs, one for each level of granularity in the multiple levels of granularity. The outputs are input into a machine-learned model to generate a score for the potential item. Based on the score, the potential item is presented on a computing device. In response to user selection of the potential item, an association between the potential item and the document is created. The association may be used later to identify a set of users to which the document (or data thereof) is to be presented.
展开▼