公开(公告)号：US08712926B2

公开(公告)日：2014-04-29

申请号：US12126829

申请日：2008-05-23

Applicant: Amit Behal ,  Ying Chen ,  William Scott Spangler

Inventor： Amit Behal ,  Ying Chen ,  William Scott Spangler

IPC: G06F15/18

CPC classification number: G06N99/005

Abstract: A method for identifying emerging concepts in unstructured text streams comprises: selecting a subset V of documents from a set U of documents; generating at least one Boolean combination of terms that partitions the set U into a plurality of categories that represent a generalized, statistically based model of the selected subset V wherein the categories are disjoint inasmuch as each document of U is included in only one category of the partition; and generating a descriptive label for each of the disjoint categories from the Boolean combination of terms for that category.

Abstract translation: 用于识别非结构化文本流中新出现的概念的方法包括：从文档集合U中选择文档的子集V; 生成将集合U分成多个类别的术语的至少一个布尔组合，所述多个类别表示所选择的子集V的广义的，统计学上的模型，其中，所述类别是不相交的，因为U的每个文档仅包括在 划分; 以及从该类别的术语的布尔组合中为每个不相交类别生成描述性标签。

公开(公告)号：US20090292660A1

公开(公告)日：2009-11-26

申请号：US12126829

申请日：2008-05-23

Applicant: AMIT BEHAL ,  Ying Chen ,  William Scott Spangler

Inventor： AMIT BEHAL ,  Ying Chen ,  William Scott Spangler

IPC: G06F15/18

CPC classification number: G06N99/005

Abstract: A method for identifying emerging concepts in unstructured text streams comprises: selecting a subset V of documents from a set U of documents; generating at least one Boolean combination of terms that partitions the set U into a plurality of categories that represent a generalized, statistically based model of the selected subset V wherein the categories are disjoint inasmuch as each document of U is included in only one category of the partition; and generating a descriptive label for each of the disjoint categories from the Boolean combination of terms for that category.

Abstract translation: 用于识别非结构化文本流中新出现的概念的方法包括：从文档集合U中选择文档的子集V; 生成将集合U分成多个类别的术语的至少一个布尔组合，所述多个类别表示所选择的子集V的广义的，统计学上的模型，其中，所述类别是不相交的，因为U的每个文档仅包括在 划分; 以及从该类别的术语的布尔组合中为每个不相交类别生成描述性标签。

公开(公告)号：US20090119275A1

公开(公告)日：2009-05-07

申请号：US11927238

申请日：2007-10-29

Applicant: Ying Chen ,  Amit Behal ,  Thomas D. Griffin ,  Larry L. Proctor ,  W. Scott Spangler

Inventor： Ying Chen ,  Amit Behal ,  Thomas D. Griffin ,  Larry L. Proctor ,  W. Scott Spangler

IPC: G06F7/06 ,  G06F17/30

CPC classification number: G06Q30/02

Abstract: Consumer-generated media (CGM) and/or other media are monitored to allow an organization to become aware of, and respond to, issues that may affect how it is perceived by the public. An extract, transform, load (ETL) engine is used to process CGM and other media content, and an analytical engine utilizes a multi-step progressive filtering approach to identify those documents that are most relevant. The filtering approach includes executing broad queries to extract relevant content from different CGM and other sources, extracting text snippets from the relevant content and performing de-duplication, defining organizational identity (e.g., brand name, trade name, or company name) and hot-topic models using a rule-based and statistical-based approach, and using the models together in an orthogonal filtering approach to effectively generate alerts and reports. The methodology is found to be substantially more effective compared to a conventional keyword based approach.

Abstract translation: 对消费者生成的媒体（CGM）和/或其他媒体进行监控，以使组织能够意识到可能影响公众感知的问题并对其进行回应。 提取，变换，加载（ETL）引擎用于处理CGM和其他媒体内容，分析引擎利用多步逐步过滤方法来识别最相关的文档。 过滤方法包括执行广泛查询，从不同的CGM和其他来源提取相关内容，从相关内容中提取文本片段，执行重复数据删除，定义组织身份（例如品牌名称，商品名称或公司名称） 主题模型使用基于规则和统计的方法，并以正交过滤方法将模型一起使用，以有效地生成警报和报告。 与常规的基于关键词的方法相比，发现该方法显着更有效。

公开(公告)号：US08782153B2

公开(公告)日：2014-07-15

申请号：US13457046

申请日：2012-04-26

Applicant: Ronald Ho ,  Justin Sadowski ,  Amit Behal

Inventor： Ronald Ho ,  Justin Sadowski ,  Amit Behal

IPC: G06F15/16

CPC classification number: H04L67/306 ,  G06Q10/10 ,  G06Q50/01

Abstract: In general, aspects of the present disclosure are directed to techniques for migrating social networking connections in a social network from one profile to another profile. A first incoming connection from a third profile in a social network to a first profile in the social network may be determined. A first outgoing connection to a fourth profile in the social network from the first profile in the social network may be determined. A second incoming connection from the third profile to a second profile may be created based at least in part on the first incoming connection. A second outgoing connection to the fourth profile from the second profile may be created based at least in part on the first outgoing connection.

Abstract translation: 通常，本公开的方面涉及用于将社交网络中的社交网络连接从一个简档迁移到另一简档的技术。 可以确定从社交网络中的第三简档到社交网络中的第一简档的第一传入连接。 可以确定从社交网络中的第一简档到社交网络中的第四简档的第一传出连接。 可以至少部分地基于第一输入连接来创建从第三简档到第二简档的第二输入连接。 可以至少部分地基于第一输出连接来创建从第二简档到第四简档的第二输出连接。

公开(公告)号：US20110219038A1

公开(公告)日：2011-09-08

申请号：US12715997

申请日：2010-03-02

Applicant: AMIT BEHAL ,  YING CHEN ,  BIN HE

Inventor： AMIT BEHAL ,  YING CHEN ,  BIN HE

IPC: G06F17/30 ,  G06F9/44

CPC classification number: G06F17/30604 ,  G06F9/44 ,  G06F17/30

Abstract: A method, system and program product for modeling data as an undirected graph is disclosed. A set of entities and a set of attributes are defined. A set of relationships is defined to represent semantic associations with each association connecting at least two entities. Attributes are associated with entities rather than with relationships. A hierarchical query language with a set of atomic operations on modeled data is employed. The modeled data is displayed on a display unit.

Abstract translation: 公开了一种用于将数据建模为无向图的方法，系统和程序产品。 定义一组实体和一组属性。 定义一组关系以表示连接至少两个实体的每个关联的语义关联。 属性与实体相关联，而不是与关系相关联。 采用具有对建模数据的一组原子操作的分层查询语言。 建模的数据显示在显示单元上。

公开(公告)号：US20130290415A1

公开(公告)日：2013-10-31

申请号：US13457046

申请日：2012-04-26

Applicant: Ronald Ho ,  Justin Sadowski ,  Amit Behal

Inventor： Ronald Ho ,  Justin Sadowski ,  Amit Behal

IPC: G06F15/16

CPC classification number: H04L67/306 ,  G06Q10/10 ,  G06Q50/01

Abstract: In general, aspects of the present disclosure are directed to techniques for migrating social networking connections in a social network from one profile to another profile. A first incoming connection from a third profile in a social network to a first profile in the social network may be determined. A first outgoing connection to a fourth profile in the social network from the first profile in the social network may be determined. A second incoming connection from the third profile to a second profile may be created based at least in part on the first incoming connection. A second outgoing connection to the fourth profile from the second profile may be created based at least in part on the first outgoing connection.

Abstract translation: 通常，本公开的方面涉及用于将社交网络中的社交网络连接从一个简档迁移到另一简档的技术。 可以确定从社交网络中的第三简档到社交网络中的第一简档的第一传入连接。 可以确定从社交网络中的第一简档到社交网络中的第四简档的第一传出连接。 可以至少部分地基于第一输入连接来创建从第三简档到第二简档的第二输入连接。 可以至少部分地基于第一输出连接来创建从第二简档到第四简档的第二输出连接。

公开(公告)号：US08572124B2

公开(公告)日：2013-10-29

申请号：US12715997

申请日：2010-03-02

Applicant: Amit Behal ,  Ying Chen ,  Bin He

Inventor： Amit Behal ,  Ying Chen ,  Bin He

IPC: G06F7/00 ,  G06F17/30 ,  G06F3/048

CPC classification number: G06F17/30604 ,  G06F9/44 ,  G06F17/30

Abstract: Data may be modeled as an undirected graph. A set of entities and a set of attributes may be defined. A set of relationships may be defined to represent semantic associations with each association connecting at least two entities. Attributes may be associated with entities rather than with relationships. A hierarchical query language with a set of atomic operations on modeled data may be employed. The modeled data may be displayed on a display unit.

Abstract translation: 数据可以被建模为无向图。 可以定义一组实体和一组属性。 可以定义一组关系以表示与连接至少两个实体的每个关联的语义关联。 属性可能与实体相关联，而不是与关系关联。 可以采用具有对建模数据的一组原子操作的分层查询语言。 建模的数据可以显示在显示单元上。

公开(公告)号：US08010524B2

公开(公告)日：2011-08-30

申请号：US11927238

申请日：2007-10-29

Applicant: Ying Chen ,  Amit Behal ,  Thomas D. Griffin ,  Larry L. Proctor ,  W. Scott Spangler

Inventor： Ying Chen ,  Amit Behal ,  Thomas D. Griffin ,  Larry L. Proctor ,  W. Scott Spangler

IPC: G06F17/30

CPC classification number: G06Q30/02

Abstract: Consumer-generated media (CGM) and/or other media are monitored to allow an organization to become aware of, and respond to, issues that may affect how it is perceived by the public. An extract, transform, load (ETL) engine is used to process CGM and other media content, and an analytical engine utilizes a multi-step progressive filtering approach to identify those documents that are most relevant. The filtering approach includes executing broad queries to extract relevant content from different CGM and other sources, extracting text snippets from the relevant content and performing de-duplication, defining organizational identity (e.g., brand name, trade name, or company name) and hot-topic models using a rule-based and statistical-based approach, and using the models together in an orthogonal filtering approach to effectively generate alerts and reports. The methodology is found to be substantially more effective compared to a conventional keyword based approach.

Abstract translation: 对消费者生成的媒体（CGM）和/或其他媒体进行监控，以使组织能够意识到可能影响公众感知的问题并对其进行回应。 提取，变换，加载（ETL）引擎用于处理CGM和其他媒体内容，分析引擎利用多步逐步过滤方法来识别最相关的文档。 过滤方法包括执行广泛查询，从不同的CGM和其他来源提取相关内容，从相关内容中提取文本片段，执行重复数据删除，定义组织身份（例如品牌名称，商品名称或公司名称） 主题模型使用基于规则和统计的方法，并以正交过滤方法将模型一起使用，以有效地生成警报和报告。 与常规的基于关键词的方法相比，发现该方法显着更有效。