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OPTIMUM STANDPOINT ESTIMATION PROGRAM, DEVICE AND METHOD FOR ESTIMATING STANDPOINT OF ATTRIBUTES OF VIEWERS INTERESTED IN SAME SHARED CONTENT

机译:对共享内容感兴趣的观众属性标准点的最佳标准点估计程序,装置和方法

摘要

PROBLEM TO BE SOLVED: To provide a program, etc., for estimating the standpoints of attributes of other viewers interested in one and the same shared content, while also estimating viewer attributes based on those standpoints.SOLUTION: An optimum standpoint estimation program comprises: standpoint list storage means which has stored therein a standpoint list containing tree-form standpoints and attribute words; and learning sentence information storage means which has stored therein a large number of learning sentence information relating to each attribute word. Also, plural keywords are extracted from a shared content. Next, regarding the shared content, a first vector having the keywords as elements and taking the occurrence frequency thereof as a value is derived, and regarding learning sentence information on attribute words which match the keywords as compared every keyword, a second vector having the words included in the learning sentence information as elements and taking the occurrence frequency thereof as a value is derived. The similarity of both vectors is calculated, and a similarity-mapped standpoint list with similarities included is generated, whereby the standpoint and attribute word which have the largest dispersion of similarity are derived for each layer of the standpoint list.
机译:解决的问题:提供一种程序等,用于估计对一个和同一共享内容感兴趣的其他查看者的属性的观点,同时还基于这些观点估计查看者的属性。解决方案:最佳立场估计程序包括:观点列表存储装置,其中存储了包含树形观点和属性词的观点列表;学习语句信息存储装置,其中存储了与每个属性词有关的大量学习语句信息。另外,从共享内容中提取多个关键词。接下来,关于共享内容,导出以关键词为元素并以其出现频率为值的第一向量,并且关于与每个关键词相比都与关键词匹配的属性词的学习语句信息,以词为第二向量导出学习语句信息中包含的元素作为元素,并以其出现频率为值。计算两个向量的相似度,并生成包含相似度的相似度映射的观点列表,从而针对观点列表的每一层推导相似度最大的观点和属性词。

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