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    • 1. 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。
    • 3. 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。
    • 7. 发明授权
    • Text mining device, method thereof, and program
    • 文本挖掘设备,其方法和程序
    • US08612207B2
    • 2013-12-17
    • US10593375
    • 2005-03-17
    • Yousuke SakaoKenji SatohSusumu Akamine
    • Yousuke SakaoKenji SatohSusumu Akamine
    • G06F17/27
    • G06F17/3061G06F17/2211G06F17/271G06F17/2785G06F17/2795G06F2216/03
    • Language analysis means 21 analyzes texts read from a text DB 11, and generates a sentence structure as the analysis result. Similar-structure generation adjustment means 25 generates, from an input of an input device, a determination item for determining whether or not the structures are identical every type of differences between the sentence structures. Similar-structure determination adjustment means 26 generates, from an input of the input device 6, a determination item for determining whether or not the difference between attribute values is ignored every type of attribute values. Similar-structure generating means 22 generates a similar structure of a partial structure forming the sentence structure obtained by language analysis means 21 in accordance with the determination item from the similar-structure generation adjustment means 25, and sets the generated similar structure as an equivalent class of the partial structure on the generation source. Frequent-similar-pattern detection means 24 ignores the attribute value in accordance with the determination item given from the similar-structure determination adjustment means 26, detects the frequent pattern on the basis of a set of equivalent classes from the similar-structure generating means 22, and outputs the frequent pattern to an output device 3.
    • 语言分析装置21分析从文本DB11读取的文本,并生成句子结构作为分析结果。 类似结构生成调整装置25从输入装置的输入产生用于确定结构是否相同的确定项,每个语句结构之间的每种类型的差异是相同的。 类似结构确定调整装置26从输入装置6的输入产生用于确定每种属性值是否忽略属性值之间的差异的确定项目。 类似结构生成装置22根据来自类似结构生成调整装置25的确定项目生成形成由语言分析装置21获得的句子结构的部分结构的类似结构,并将生成的类似结构设置为等效类 的部分结构在发电源上。 频率相似图案检测装置24根据从类似结构确定调整装置26给出的确定项目忽略属性值,基于来自类似结构生成装置22的一组等效类别来检测频繁模式 ,并将频繁模式输出到输出装置3。
    • 8. 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。
    • 9. 发明申请
    • Text Mining Device, Method Thereof, and Program
    • 文本挖掘设备,方法和程序
    • US20070233458A1
    • 2007-10-04
    • US10593375
    • 2005-03-17
    • Yousuke SakaoKenji SatohSusumu Akamine
    • Yousuke SakaoKenji SatohSusumu Akamine
    • G06F17/27
    • G06F17/3061G06F17/2211G06F17/271G06F17/2785G06F17/2795G06F2216/03
    • Language analysis means 21 analyzes texts read from a text DB 11, and generates a sentence structure as the analysis result. Similar-structure generation adjustment means 25 generates, from an input of an input device, a determination item for determining whether or not the structures are identical every type of differences between the sentence structures. Similar-structure determination adjustment means 26 generates, from an input of the input device 6, a determination item for determining whether or not the difference between attribute values is ignored every type of attribute values. Similar-structure generating means 22 generates a similar structure of a partial structure forming the sentence structure obtained by language analysis means 21 in accordance with the determination item from the similar-structure generation adjustment means 25, and sets the generated similar structure as an equivalent class of the partial structure on the generation source. Frequent-similar-pattern detection means 24 ignores the attribute value in accordance with the determination item given from the similar-structure determination adjustment means 26, detects the frequent pattern on the basis of a set of equivalent classes from the similar-structure generating means 22, and outputs the frequent pattern to an output device 3.
    • 语言分析装置21分析从文本DB11读取的文本,并生成句子结构作为分析结果。 类似结构生成调整装置25从输入装置的输入产生用于确定结构是否相同的确定项,每个语句结构之间的每种类型的差异是相同的。 类似结构确定调整装置26从输入装置6的输入产生用于确定每种属性值是否忽略属性值之间的差异的确定项目。 类似结构生成装置22根据来自类似结构生成调整装置25的确定项目生成形成由语言分析装置21获得的句子结构的部分结构的类似结构,并将生成的类似结构设置为等效类 的部分结构在发电源上。 频率相似图案检测装置24根据从类似结构确定调整装置26给出的确定项目忽略属性值,基于来自类似结构生成装置22的一组等效类别来检测频繁模式 ,并将频繁模式输出到输出装置3。