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Automatic extraction of semantics from text information

机译:从文本信息中自动提取语义

摘要

The present invention provides systems, methods and computer program products for extracting semantic information from text data having metadata associated therewith. A method according to an embodiment of the present invention includes selecting an ordered set of scale values for a plurality of scales and, for each of the scale values, determining one or more subset of metadata information related to the scale value. For each of the scales and associated subsets, a statistic on occurrences of content associated with the metadata in each subset is determined and the statistics are aggregated for each scale and associated subsets to determine a semantic level for the content. The scales and associated subsets having content with a semantic level above a threshold may be determined to extract semantic information across multiple time frames with the ordered set of scale values for the plurality of scales.
机译:本发明提供了用于从具有与之关联的元数据的文本数据中提取语义信息的系统,方法和计算机程序产品。根据本发明的实施例的方法包括:为多个比例尺选择一组有序的比例尺值,并且对于每个比例尺值,确定与该比例尺值有关的元数据信息的一个或多个子集。对于每个比例尺和相关联的子集,确定与每个子集中的与元数据相关联的内容的出现的统计,并且针对每个比例尺和相关联的子集汇总统计以确定内容的语义级别。可以确定具有语义级别高于阈值的内容的标度和相关联的子集,以跨多个时间帧提取语义信息,其中多个标度的标度值的有序集合。

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