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    • 9. 发明申请
    • DOCUMENT ANALYSIS APPARATUS, DOCUMENT ANALYSIS METHOD, AND COMPUTER-READABLE RECORDING MEDIUM
    • 文件分析装置,文件分析方法和计算机可读记录介质
    • US20120304055A1
    • 2012-11-29
    • US13576669
    • 2011-01-25
    • Satoshi NakazawaShinichi Ando
    • Satoshi NakazawaShinichi Ando
    • G06F17/24
    • G06F17/30699
    • A document analysis apparatus comprises: a feature expression acquisition unit acquiring a feature expression appearing during an attention period in an analysis object document collection; a document collection acquisition unit acquiring a feature expression containing document (FECD) collection in which a feature expression appears, from an analysis population including an analysis object document collection; a context determination unit specifying an analysis/FECD corresponding to an analysis object document among a FECD collection for every feature expression, and specifies a context in which the feature expression appeared in multiple analysis/FECDs; a context comparison determination unit specifying a non analysis/FECD not corresponding to an analysis object document among a FECD collection, and within that, compares a context in which the feature expression has appeared and a context specified previously; and a feature degree setting unit performing giving or the like of a feature degree to a feature expression from the comparison.
    • 文件分析装置包括:特征表达获取单元,获取在分析对象文档收集期间在注意期间出现的特征表达; 文档收集获取单元从包括分析对象文档集合的分析群体获取包含其中出现特征表达的文档(FECD)集合的特征表达式; 指定对于每个特征表达式的FECD集合中的与分析对象文档对应的分析/ FECD的上下文确定单元,并且指定在多个分析/ FECD中出现特征表达的上下文; 指定在FECD集合中与分析对象文档不对应的非分析/ FECD的上下文比较确定单元,并且在其中比较特征表达式出现的上下文和先前指定的上下文; 以及特征度设定单元,对来自所述比较的特征表达进行特征度的赋予等。
    • 10. 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。