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    • 1. 发明授权
    • Systems and methods for detecting sentiment-based topics
    • 用于检测情感主题的系统和方法
    • US08356025B2
    • 2013-01-15
    • US12634269
    • 2009-12-09
    • Keke CaiYing ChenWilliam Scott SpanglerLi Zhang
    • Keke CaiYing ChenWilliam Scott SpanglerLi Zhang
    • G06F17/30
    • G06F17/2785
    • A method for analyzing sentiment comprising: collecting an object from an external content repository, the collected objects forming a content database; extracting a snippet related to the subject from the content database; calculating a sentiment score for the snippet; classifying the snippet into a sentiment category; creating sentiment taxonomy using the sentiment categories, the sentiment taxonomy classifying the snippets as positive, negative or neutral; identifying topic words within the sentiment taxonomy; classifying the topic words as a sentiment topic word candidates or a non-sentiment topic word candidate, filtering the non-sentiment topic word candidates; identifying the frequency of the non-sentiment topic words in each of the sentiment categories; identifying the importance of the non-sentiment topic word for each of the sentiment categories; and, ranking the topic word, wherein the rank is calculated by combining the frequency of the topic words in each of the categories with its importance.
    • 一种用于分析情绪的方法,包括:从外部存储库收集对象,所收集的对象形成内容数据库; 从所述内容数据库提取与所述主题相关的片段; 计算该片段的情绪分数; 将该片段分类为情感类别; 使用情绪类别创建情感分类,情绪分类法将片段分为正,负或中立; 识别情感分类学中的主题词; 将主题词分类为情感主题词候选或非情绪主题词候选,过滤非情绪主题词候选词; 识别每个情绪类别中非情绪主题词的频率; 确定每个情绪类别的非情绪主题词的重要性; 并且对主题词进行排名,其中通过将每个类别中的主题词的频率与其重要性组合来计算排名。
    • 4. 发明申请
    • SYSTEMS AND METHODS FOR ANALYZING ELECTRONIC TEXT
    • 用于分析电子文本的系统和方法
    • US20100145940A1
    • 2010-06-10
    • US12331271
    • 2008-12-09
    • Ying ChenLarry ProctorWilliam Scott Spangler
    • Ying ChenLarry ProctorWilliam Scott Spangler
    • G06F17/21G06F17/30
    • G06F17/30864G06F17/30705
    • Systems and methods for systematically analyzing an electronic text are described. In one embodiment, the method includes receiving the electronic text from a plurality of sources. The method also includes determining an at least one term of interest to be identified in the electronic text. The method further includes identifying a plurality of locations within the electronic text including the at least one term of interest. The method also includes for each location within a plurality of locations, creating a snippet from a text segment around the at least one term of interest at the location within the electronic text. The method further includes creating multiple taxonomies for the at least one term of interest from the snippets, wherein the taxonomies include an at least one category. The method also includes determining co-occurrences between the multiple taxonomies to determine associations between categories of a different taxonomies of the multiple taxonomies.
    • 描述用于系统地分析电子文本的系统和方法。 在一个实施例中,该方法包括从多个源接收电子文本。 该方法还包括确定要在电子文本中识别的至少一个感兴趣的术语。 该方法还包括识别电子文本内的多个位置,包括至少一个感兴趣的术语。 所述方法还包括针对多个位置内的每个位置,从电子文本内的位置处的所述至少一个感兴趣的术语周围的文本段创建代码片段。 该方法还包括从片段为至少一个感兴趣的术语创建多个分类法,其中分类法包括至少一个类别。 该方法还包括确定多重分类法之间的共同出现以确定多种分类法的不同分类法的类别之间的关联。
    • 8. 发明授权
    • Versioning data warehouses
    • 版本化数据仓库
    • US08078570B2
    • 2011-12-13
    • US12434378
    • 2009-05-01
    • Ying ChenBin HeWilliam Scott Spangler
    • Ying ChenBin HeWilliam Scott Spangler
    • G06F17/30
    • G06F17/30592
    • A method, system, and computer program product are disclosed. Exemplary embodiments of the method, system, and computer program product may include hardware, process steps, and computer program instructions for supporting versioning in a data warehouse. The data warehouse may include a data warehouse engine for creating a data warehouse including a fact table and temporary tables. Updated or new data records may be transferred into the data warehouse and bulk loaded into the temporary tables. The updated or new data records may be evaluated for attributes matching existing data records. A version number may be assigned to data records and data records may be marked as being the most current version. Updated and new data records may be bulk loaded from the temporary tables into the fact table when a version number or a version status is calculated.
    • 公开了一种方法,系统和计算机程序产品。 方法,系统和计算机程序产品的示例性实施例可以包括用于支持数据仓库中的版本控制的硬件,处理步骤和计算机程序指令。 数据仓库可以包括用于创建包括事实表和临时表的数据仓库的数据仓库引擎。 更新的或新的数据记录可能会被传输到数据仓库中并批量加载到临时表中。 可以针对与现有数据记录匹配的属性来评估更新的或新的数据记录。 可以将版本号分配给数据记录,并且可以将数据记录标记为最新版本。 当计算版本号或版本状态时,更新的新数据记录可能会从临时表批量加载到事实表中。
    • 10. 发明授权
    • Systems and methods for analyzing electronic text
    • 用于分析电子文本的系统和方法
    • US08606815B2
    • 2013-12-10
    • US12331271
    • 2008-12-09
    • Ying ChenLarry ProctorWilliam Scott Spangler
    • Ying ChenLarry ProctorWilliam Scott Spangler
    • G06F7/00G06F17/30
    • G06F17/30864G06F17/30705
    • Systems and methods for systematically analyzing an electronic text are described. In one embodiment, the method includes receiving the electronic text from a plurality of sources. The method also includes determining an at least one term of interest to be identified in the electronic text. The method further includes identifying a plurality of locations within the electronic text including the at least one term of interest. The method also includes for each location within a plurality of locations, creating a snippet from a text segment around the at least one term of interest at the location within the electronic text. The method further includes creating multiple taxonomies for the at least one term of interest from the snippets, wherein the taxonomies include an at least one category. The method also includes determining co-occurrences between the multiple taxonomies to determine associations between categories of a different taxonomies of the multiple taxonomies.
    • 描述用于系统地分析电子文本的系统和方法。 在一个实施例中,该方法包括从多个源接收电子文本。 该方法还包括确定要在电子文本中识别的至少一个感兴趣的术语。 该方法还包括识别电子文本内的多个位置,包括至少一个感兴趣的术语。 所述方法还包括针对多个位置内的每个位置,从电子文本内的位置处的所述至少一个感兴趣的术语周围的文本段创建代码片段。 该方法还包括从片段为至少一个感兴趣的术语创建多个分类法,其中分类法包括至少一个类别。 该方法还包括确定多重分类法之间的共同出现以确定多种分类法的不同分类法的类别之间的关联。