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    • 2. 发明申请
    • Method and apparatus for information visualization and analysis
    • 信息可视化和分析的方法和装置
    • US20080082521A1
    • 2008-04-03
    • US11541173
    • 2006-09-28
    • Gary R. DanielsonStuart J. Rose
    • Gary R. DanielsonStuart J. Rose
    • G06F17/30
    • G06F16/34
    • A method and apparatus for analyzing, organizing and manipulating data for use by computer-executable programs by performing the steps of providing a set of documents wherein each document is provided from a document source, mapping the documents to a location in multi-dimensional space wherein each document's position in multidimensional space is determined as a function of the document's relationship to other documents and is expressed as a signature for that document, identifying a unique identifier for each document, providing a graphical representation of the documents, and associating the graphical representation of each document with the document source using the unique identifier so that any manipulation of the graphical representation of the document will result in a corresponding manipulation of the document in at least one computer executable program.
    • 一种用于分析,组织和操纵数据以供计算机可执行程序使用的方法和装置,该方法和装置通过执行提供一组文档的步骤,其中每个文档从文档源提供,将文档映射到多维空间中的位置, 每个文档在多维空间中的位置被确定为文档与其他文档的关系的函数,并且被表示为该文档的签名,标识每个文档的唯一标识符,提供文档的图形表示,并且将图形表示 每个文档与文档源使用唯一的标识符,使得对文档的图形表示的任何操纵将导致在至少一个计算机可执行程序中相应的文档处理。
    • 3. 发明申请
    • Apparatuses, data structures, and methods for dynamic information analysis
    • 用于动态信息分析的设备,数据结构和方法
    • US20080065666A1
    • 2008-03-13
    • US11517718
    • 2006-09-08
    • Stuart J. RoseGary R. Danielson
    • Stuart J. RoseGary R. Danielson
    • G06F7/00
    • G06F16/904
    • Apparatuses, data structures, and computer-implemented methods for mapping relations of items as those items occur in sets, and/or as they are associated with sets, locations and/or attributes are disclosed according to some aspects. In one embodiment, mapping comprises ingesting a corpus of data having one or more initial sets, which comprise one or more initial items, and creating a content map. The content map comprises a mapping of each initial set to one or more content lists wherein entries in a particular content list correspond to initial items in a particular initial set. The mapping of relations can further comprise defining one or more derived sets as combinations, aggregations, or segmentations of one or more of the initial sets and transforming the content map to generate a concordance.
    • 根据一些方面,公开了用于将这些项目发生在集合中和/或与集合,位置和/或属性相关联的项目的关系映射的装置,数据结构和计算机实现的方法。 在一个实施例中,映射包括摄取具有一个或多个初始集合的数据的语料库,其包括一个或多个初始项目,以及创建内容映射。 内容映射包括每个初始集合与一个或多个内容列表的映射,其中特定内容列表中的条目对应于特定初始集合中的初始条目。 关系的映射还可以包括将一个或多个派生集合定义为一个或多个初始集合的组合,聚合或分段,并且变换内容映射以生成一致性。
    • 6. 发明申请
    • Automatic Generation of Stop Word Lists for Information Retrieval and Analysis
    • 自动生成停止词列表,用于信息检索和分析
    • US20110004610A1
    • 2011-01-06
    • US12555962
    • 2009-09-09
    • Stuart J. Rose
    • Stuart J. Rose
    • G06F17/30
    • G06F17/277
    • Methods and systems for automatically generating lists of stop words for information retrieval and analysis. Generation of the stop words can include providing a corpus of documents and a plurality of keywords. From the corpus of documents, a term list of all terms is constructed and both a keyword adjacency frequency and a keyword frequency are determined. If a ratio of the keyword adjacency frequency to the keyword frequency for a particular term on the term list is less than a predetermined value, then that term is excluded from the term list. The resulting term list is truncated based on predetermined criteria to form a stop word list.
    • 用于自动生成用于信息检索和分析的停止词列表的方法和系统。 生成停止词可以包括提供文档语料库和多个关键字。 从文档的语料库中构建所有术语的术语列表,并且确定关键字邻接频率和关键字频率。 如果术语列表中特定术语的关键字邻接频率与关键词频率的比率小于预定值,则该术语从术语列表中排除。 所得到的术语列表基于预定标准被截断以形成停止词列表。
    • 7. 发明申请
    • Computation and Analysis of Significant Themes
    • 重要主题的计算与分析
    • US20110004465A1
    • 2011-01-06
    • US12568365
    • 2009-09-28
    • Stuart J. RoseWendy E. CowleyVernon L. Crow
    • Stuart J. RoseWendy E. CowleyVernon L. Crow
    • G06F17/27
    • G06F17/277G06F16/35
    • Systems and computer-implemented processes for computation and analysis of significant themes in a corpus of documents. The computation and analysis of significant themes can be executed on a processor and involves generating a lexical unit document association (LUDA) vector for each lexical unit that has been provided and quantifying similarities between each unique pair of lexical units. The LUDA vector characterizes a measure of association between its corresponding lexical unit and documents in the corpus. The lexical units can then be grouped into clusters such that each cluster contains a set of lexical units that are most similar as determined by the LUDA vectors and a predetermined clustering threshold.
    • 系统和计算机实现的程序,用于计算和分析文档语料库中的重要主题。 可以在处理器上执行重要主题的计算和分析,并且涉及为已经提供的每个词汇单元生成词汇单元文档关联(LUDA)向量,并量化每个唯一的词汇单元对之间的相似性。 LUDA向量表征其对应的词汇单元与语料库中的文档之间的关联度量。 然后可以将词汇单元分组成群集,使得每个群集包含由LUDA向量和预定群集阈值确定的最相似的一组词法单元。