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1. 发明授权

US10545928B2 Textual analysis system for automatic content extaction 有权
公开(公告)号：US10545928B2
公开(公告)日：2020-01-28
申请号：US14009027
申请日：2012-03-29
申请人： Hamid Gharib , Simon Thompson , Duong Nguyen , Marcus Thint
发明人： Hamid Gharib , Simon Thompson , Duong Nguyen , Marcus Thint
IPC分类号： G06F16/21 , G06F17/27 , G06F17/22
摘要： The present invention provides a method, and an associated apparatus configured to implement such a method, for analysing mark-up language text content, such as might be found on a website or within online user generated content. The method comprises a training phase, in which plurality of schemas are automatically generated from a specified text and a final schema is compiled. This final schema can then be used to compare with other online text content such that content which matched the final schema can be identified, for example for further analysis and comparison.

2. 发明申请

US20130024407A1 TEXT CLASSIFIER SYSTEM 审中-公开
标题翻译：文本分类器系统
公开(公告)号：US20130024407A1
公开(公告)日：2013-01-24
申请号：US13637550
申请日：2011-03-28
申请人： Simon G. Thompson , Duong T. Nguyen , Marcus Thint , Hamid Gharib
发明人： Simon G. Thompson , Duong T. Nguyen , Marcus Thint , Hamid Gharib
IPC分类号： G06F15/18
CPC分类号： G06F17/274 , G06F16/353
摘要： The present invention provides a method, and a system, for analysing a textual passage and classifying it against a number of predetermined categories. In the event that the text passage under analysis is not sufficiently similar to any of the predetermined categories then it will be classified as belonging to a further category.
摘要翻译：本发明提供一种用于分析文本段落并将其分类为多个预定类别的方法和系统。如果分析的文本段落与任何预定类别不完全相似，那么它将被归类为属于另一类别。

3. 发明申请

US20080240566A1 Identifying data patterns 有权
标题翻译：识别数据模式
公开(公告)号：US20080240566A1
公开(公告)日：2008-10-02
申请号：US11730572
申请日：2007-04-02
申请人： Marcus Thint
发明人： Marcus Thint
IPC分类号： G06K9/62 , G06K9/00 , G06K9/18
CPC分类号： G06K9/627 , G06F17/3071
摘要： Methods and systems for identifying data patterns from data comprising at least one data object, said data having at least one existing pattern class associated therewith, said data object being represented by a base feature vector, at least one of said base feature vectors having a structure of higher-level and lower-level feature vectors such that at least one element of a higher-level feature vector is itself a lower-level feature vector.
摘要翻译：用于从包括至少一个数据对象的数据识别数据模式的方法和系统，所述数据具有与其相关联的至少一个现有模式类别，所述数据对象由基本特征向量表示，所述基本特征向量中的至少一个具有结构的较高级别和较低级特征向量，使得较高级特征向量的至少一个元素本身是较低级特征向量。

4. 发明授权

US10296584B2 Semantic textual analysis 有权
公开(公告)号：US10296584B2
公开(公告)日：2019-05-21
申请号：US13576076
申请日：2011-01-27
申请人： Gery M Ducatel , Simon G Thompson , Marcus Thint
发明人： Gery M Ducatel , Simon G Thompson , Marcus Thint
IPC分类号： G10L15/22 , G06F17/27 , G06F16/30 , G06F17/22
摘要： A method of comparing the semantic similarity of two different text phrases in which the grammatical structure of the two different text phrases is analyzed and a keyword set for each of the different text phrases is derived The semantic similarity of the phrases can be determined in accordance with the grammatical structure of the two different text phrases and the contents of the two keyword sets.

5. 发明授权

US07243105B2 Method and apparatus for automatic updating of user profiles 有权
标题翻译：自动更新用户资料的方法和装置
公开(公告)号：US07243105B2
公开(公告)日：2007-07-10
申请号：US10334117
申请日：2002-12-31
申请人： Marcus Thint , Simon J Case
发明人： Marcus Thint , Simon J Case
IPC分类号： G06F17/00
CPC分类号： G06F17/30867 , Y10S707/99942 , Y10S707/99943 , Y10S707/99944 , Y10S707/99945
摘要： Appropriate updates to a respective user profile are inferred from monitored user activity. Such updates are suitable for use with applications programs that customize services based upon data and attributes stored in a user profile. The apparatus is arranged to personalize various aspects of a preferred profile updating process on the basis of stored user preferences, applying meta-rules to apply those user preferences to the definition of a set of personalized rule weights to be applied in a fuzzy inference process that infers profile updates by applying fuzzy rules and fuzzy sets to the analysis of event statistics derived from the results of user monitoring. The personalized rule weights are applied to selectively adjust the effect of particular fuzzy rules. In addition, mapping of event statistics to fuzzy rule premises in the fuzzy inference process may be personalized through the use of user-defined fuzzy sets.
摘要翻译：从受监控的用户活动推断相应用户简档的适当更新。这样的更新适用于基于存储在用户简档中的数据和属性来定制服务的应用程序。该装置被设置为基于存储的用户偏好来个性化优选简档更新过程的各个方面，应用元规则以将这些用户偏好应用于要在模糊推理过程中应用的一组个性化规则权重的定义，通过将模糊规则和模糊集应用于从用户监控结果导出的事件统计分析来推断个人资料更新。应用个性化规则权重来选择性地调整特定模糊规则的效果。另外，可以通过使用用户定义的模糊集来将事件统计量映射到模糊推理过程中的模糊规则场所。

6. 发明申请

US20120303358A1 SEMANTIC TEXTUAL ANALYSIS 审中-公开
标题翻译：语义文本分析
公开(公告)号：US20120303358A1
公开(公告)日：2012-11-29
申请号：US13576076
申请日：2011-01-27
申请人： Gery M. Ducatel , Simon G. Thompson , Marcus Thint
发明人： Gery M. Ducatel , Simon G. Thompson , Marcus Thint
IPC分类号： G06F17/27
CPC分类号： G06F17/2785 , G06F17/2211 , G06F17/274 , G06F17/3061
摘要： A method of comparing the semantic similarity of two different text phrases in which the grammatical structure of the two different text phrases is analysed and a keyword set for each of the different text phrases is derived The semantic similarity of the phrases can be determined in accordance with the grammatical structure of the two different text phrases and the contents of the two keyword sets.
摘要翻译：比较两个不同文本短语的语义相似性的方法，其中分析了两个不同文本短语的语法结构，并且为每个不同的文本短语分析了一个关键字集合。短语的语义相似性可以根据两个不同文本短语的语法结构和两个关键字集的内容。

7. 发明授权

US07853081B2 Identifying data patterns 有权
标题翻译：识别数据模式
公开(公告)号：US07853081B2
公开(公告)日：2010-12-14
申请号：US11730572
申请日：2007-04-02
申请人： Marcus Thint
发明人： Marcus Thint
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： G06K9/627 , G06F17/3071
摘要： Methods and systems for identifying data patterns from data comprising at least one data object, said data having at least one existing pattern class associated therewith, said data object being represented by a base feature vector, at least one of said base feature vectors having a structure of higher-level and lower-level feature vectors such that at least one element of a higher-level feature vector is itself a lower-level feature vector.
摘要翻译：用于从包括至少一个数据对象的数据识别数据模式的方法和系统，所述数据具有与其相关联的至少一个现有模式类别，所述数据对象由基本特征向量表示，所述基本特征向量中的至少一个具有结构的较高级别和较低级特征向量，使得较高级特征向量的至少一个元素本身是较低级特征向量。

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