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公开(公告)号：US08725781B2
公开(公告)日：2014-05-13
申请号：US13017013
申请日：2011-01-30
IPC分类号： G06F17/30
CPC分类号： G06Q30/02
摘要： A sentiment cube system is disclosed. In one example, the system discloses a sentiment storage, including a sentiment cube data structure having a set of cells arranged by a set of dimensions. The system includes a computer programmed with executable instructions which operate a set of modules, wherein the modules comprise: a sentiment storage module which receives sentiment values associated with a set of entity features, and then populates a hierarchy of the cells in the sentiment cube with the sentiment values. A sentiment analysis module effecting a set of operations on the sentiment cube.
摘要翻译： 披露情感立方体系。 在一个示例中，系统公开了情绪存储，其包括具有由一组维度排列的一组单元的情感立方体数据结构。 该系统包括用可操作的指令编程的计算机，该可执行指令操作一组模块，其中模块包括：情绪存储模块，其接收与一组实体特征相关联的情绪值，然后在情绪立方体中填充情绪立方体中的细胞层级， 情绪价值观。 情绪分析模块对情绪立方体执行一组操作。
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公开(公告)号：US08892343B2
公开(公告)日：2014-11-18
申请号：US13562490
申请日：2012-07-31
CPC分类号： G08G1/0133 , G08G1/0112 , G08G1/0116 , G08G1/0129 , G08G1/0141 , G08G1/052
摘要： Systems and methods are provided for determining an impact of a planned event. Traffic flow velocity is measured at each of a plurality of traffic sensors over a period of time before the planned event, with each traffic sensor having an associated geographical location. A plurality of measured traffic flow velocities for each traffic sensor are stored on a non-transitory computer readable medium. A traffic flow velocity at each traffic sensor is measured at each of a plurality of representative times within a defined time period including a known start time and an expected end time of the event. A threshold velocity is calculated from the stored traffic flow velocities for each traffic sensor corresponding to each representative time. For each representative time, a set of traffic sensors is determined at which the measured traffic flow velocity during the defined time period is less than the threshold velocity.
摘要翻译： 提供了系统和方法来确定计划事件的影响。 在计划的事件之前的一段时间内在多个交通传感器的每一个处测量交通流速度，其中每个交通传感器具有相关联的地理位置。 用于每个业务传感器的多个测量的业务流速度存储在非暂时计算机可读介质上。 在包括事件的已知开始时间和预期结束时间的确定时间段内的多个代表时间的每一个处测量每个交通传感器处的交通流速度。 根据对应于每个代表时间的每个交通传感器的存储的业务流速度计算阈值速度。 对于每个代表时间，确定一组交通传感器，其中所确定的时间段内测量的交通流速度小于阈值速度。
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公开(公告)号：US08949211B2
公开(公告)日：2015-02-03
申请号：US13018412
申请日：2011-01-31
申请人： Yue Lu , Maria G Castellanos , Umeshwar Dayal
发明人： Yue Lu , Maria G Castellanos , Umeshwar Dayal
CPC分类号： G06Q30/02 , G06F17/2785
摘要： A system and article are disclosed for objective-function based sentiment. In one example, the system includes a set of domain information, and a computer programmed with executable instructions which operate a set of modules. The modules include a sentiment polarization module for identifying a domain-aspect opinion-word pair within a set of domain data, and assigning a sentiment polarity score to the domain-aspect opinion-word pair based on an objective function which includes sentiment data from the domain information.
摘要翻译： 披露了基于目标函数的情绪的系统和文章。 在一个示例中，系统包括一组域信息，以及用可操作的指令编程的计算机，其操作一组模块。 这些模块包括用于识别一组域数据内的域方面意见词对的情感极化模块，并且基于包括来自所述域数据的情绪数据的目标函数来向所述域方面意见词对分配情感极性分数 域信息。
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公开(公告)号：US09189470B2
公开(公告)日：2015-11-17
申请号：US13485730
申请日：2012-05-31
CPC分类号： G06F17/27 , G06F17/30719 , G06F17/30864
摘要： A method for generating summaries of text is described. The method includes the step of extracting features from text of text lists from summaries. The explanatoriness of the text is then evaluated, wherein evaluating the explanatoriness of text includes evaluating the features of the text, including at least the step of evaluating the discriminativeness of the features of the text by comparing the text to a first text data set, wherein the first text data set is derived from a topic label. The evaluated text is then ranked based on the explanatoriness evaluation.
摘要翻译： 描述了一种生成文本摘要的方法。 该方法包括从摘要文本列表中提取特征的步骤。 然后评估文本的解释性，其中评估文本的解释性包括评估文本的特征，包括至少通过将文本与第一文本数据集进行比较来评估文本的特征的歧视性的步骤，其中 第一个文本数据集是从主题标签派生出来的。 然后根据解释性评估对评估文本进行排名。
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公开(公告)号：US09064009B2
公开(公告)日：2015-06-23
申请号：US13432639
申请日：2012-03-28
CPC分类号： G06F17/30716
摘要： An example system includes at least one memory and at least one processing device. The at least one memory comprises instructions that when executed by the at least one processing device cause the system to receive a text corpus, filter the text corpus to obtain a plurality of attributes, determine the semantic cohesion between the plurality of attributes, and create an attribute cloud including the plurality of attributes, where the placement of the plurality of attributes within the attribute cloud is based at least in part on the determined semantic cohesion between the plurality of attributes.
摘要翻译： 示例性系统包括至少一个存储器和至少一个处理设备。 所述至少一个存储器包括指令，当所述至少一个处理设备执行时，使所述系统接收文本语料库，过滤所述文本语料库以获得多个属性，确定所述多个属性之间的语义内聚，并创建一个 包括多个属性的属性云，其中属性云内的多个属性的放置至少部分地基于所确定的多个属性之间的语义内聚。
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