会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 2. 发明授权
    • Text mining device, text mining method, and text mining program
    • 文本挖掘设备,文本挖掘方法和文本挖掘程序
    • US08229956B2
    • 2012-07-24
    • US12086190
    • 2006-11-30
    • Takahiro IkedaYoshihiro Ikeda, legal representativeSatoshi NakazawaYousuke SakaoKenji Satoh
    • Takahiro IkedaSatoshi NakazawaYousuke SakaoKenji Satoh
    • G06F17/30
    • G06F17/30616
    • With respect to each part at which a word included in a characteristic condition defining a characteristic text set designated by a user through the input device appears in text, the characteristic condition assurance degree calculating unit of the text mining device obtains a reliability of the word from the word reliability storage unit to operate a value of a characteristic condition assurance degree for each text by predetermined operation based on all the obtained reliabilities. The characteristic condition assurance degree calculating unit executes operation such that when a value of each reliability is large, a value of a degree of assurance becomes large. The representative text output unit outputs text whose characteristic condition assurance degree is the highest among texts whose characteristic condition assurance degrees are calculated together with its characteristic condition assurance degree.
    • 对于通过输入装置定义由用户指定的特征文本集的特征条件中包含的单词出现在文本中的每个部分,文本挖掘装置的特征条件保证度计算单元获得单词的可靠性, 字可靠性存储单元,用于通过基于所有获得的可靠性的预定操作来操作每个文本的特征条件保证度的值。 特征状态保证度计算单元执行操作,使得当每个可靠性的值大时,保证程度的值变大。 代表性文本输出单元输出其特征条件保证度与其特征条件保证度一起计算的文本中的特征条件保证度最高的文本。
    • 7. 发明申请
    • Text Mining Device, Text Mining Method, and Text Mining Program
    • 文本挖掘设备,文本挖掘方法和文本挖掘程序
    • US20100223291A1
    • 2010-09-02
    • US12086190
    • 2006-11-30
    • Takahiro IkedaSatoshi NakazawaYousuke SakaoKenji Satoh
    • Takahiro IkedaSatoshi NakazawaYousuke SakaoKenji Satoh
    • G06F17/30
    • G06F17/30616
    • With respect to each part at which a word included in a characteristic condition defining a characteristic text set designated by a user through the input device appears in text, the characteristic condition assurance degree calculating unit of the text mining device obtains a reliability of the word from the word reliability storage unit to operate a value of a characteristic condition assurance degree for each text by predetermined operation based on all the obtained reliabilities. The characteristic condition assurance degree calculating unit executes operation such that when a value of each reliability is large, a value of a degree of assurance becomes large. The representative text output unit outputs text whose characteristic condition assurance degree is the highest among texts whose characteristic condition assurance degrees are calculated together with its characteristic condition assurance degree.
    • 对于通过输入装置定义由用户指定的特征文本集的特征条件中包含的单词出现在文本中的每个部分,文本挖掘装置的特征条件保证度计算单元获得单词的可靠性, 字可靠性存储单元,用于通过基于所有获得的可靠性的预定操作来操作每个文本的特征条件保证度的值。 特征状态保证度计算单元执行操作,使得当每个可靠性的值大时,保证程度的值变大。 代表性文本输出单元输出其特征条件保证度与其特征条件保证度一起计算的文本中的特征条件保证度最高的文本。
    • 8. 发明授权
    • Data processing device, data processing method, and data processing program
    • 数据处理装置,数据处理方法和数据处理程序
    • US08775158B2
    • 2014-07-08
    • US11996484
    • 2006-08-02
    • Yousuke SakaoKenji SatohYoshihiro Ikeda
    • Yousuke SakaoTakahiro IkedaKenji Satoh
    • G06F17/27
    • G06F17/2785G06F17/30616
    • [PROBLEMS] To provide a data processing device such as a text mining device capable of extracting characteristic structures properly even in case a plurality of words indicating identical contents or a plurality of words semantically associated are contained in input data. [MEANS FOR SOLVING PROBLEMS] Association node extraction unit (22) of a text mining device (10) extracts association nodes containing semantically associated words from a graph obtained as a result of syntax analysis. Association node joint unit (23) transforms the graph by joint of a part of or a whole of the association nodes. Characteristic structure extraction unit (24) extracts a characteristic structure from the graph transformed by the association node joint unit.
    • 提供一种即使在输入数据中包含指示相同内容或多个词语义相关联的多个单词的情况下能够适当地提取特征结构的文本挖掘设备等数据处理设备。 [解决问题的手段]文本挖掘装置(10)的关联节点提取单元(22)从作为语法分析的结果获得的图形中提取包含语义关联词的关联节点。 关联节点联合单元(23)通过关联节点的一部分或全部的联合来变换图。 特征结构提取单元(24)从由关联节点联合单元变换的图中提取特征结构。