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公开(公告)号：US09575936B2
公开(公告)日：2017-02-21
申请号：US14801761
申请日：2015-07-16
Applicant: Verint Systems Ltd.
Inventor： Roni Romano , Galia Zacay , Rahm Fehr
CPC classification number: G06F17/214
Abstract: Machine learning-based methods to improve the knowledge extraction process in a specific domain or business environment, and then provides that extracted knowledge in a word cloud user interface display capable of summarizing and conveying a vast amount of information to a user very quickly. Based on the self-training mechanism developed by the inventors, the ontology programming automatically trains itself to understand the domain or environment of the communication data by processing and analyzing a defined corpus of communication data. The developed ontology can be applied to process a dataset of communication information to create a word cloud that can provide a quick view into the content of the dataset, including information about the language used by participants in the communications, such as identifying for a user key phrases and terms, the frequency of those phrases, the originator of the terms of phrases, and the confidence levels of such identifications.
Abstract translation: 基于机器学习的方法来改进特定领域或业务环境中的知识提取过程，然后将提取的知识提供给能够快速总结和传送大量信息的单词云用户界面显示。 基于发明人开发的自我训练机制，通过处理和分析定义的通信数据语料库，本体编程自动训练自己来了解通信数据的领域或环境。 开发的本体可以应用于处理通信信息的数据集以创建可以提供对数据集的内容的快速观看的词云，包括关于通信中的参与者使用的语言的信息，诸如识别用户密钥 短语和术语，这些短语的频率，短语条款的发起者以及这种识别的置信水平。
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公开(公告)号：US20160019885A1
公开(公告)日：2016-01-21
申请号：US14801761
申请日：2015-07-16
Applicant: Verint Systems Ltd.
Inventor： Roni Romano , Galia Zacay , Rahm Fehr
CPC classification number: G06F17/214
Abstract: Machine learning-based methods to improve the knowledge extraction process in a specific domain or business environment, and then provides that extracted knowledge in a word cloud user interface display capable of summarizing and conveying a vast amount of information to a user very quickly. Based on the self-training mechanism developed by the inventors, the ontology programming automatically trains itself to understand the domain or environment of the communication data by processing and analyzing a defined corpus of communication data. The developed ontology can be applied to process a dataset of communication information to create a word cloud that can provide a quick view into the content of the dataset, including information about the language used by participants in the communications, such as identifying for a user key phrases and terms, the frequency of those phrases, the originator of the terms of phrases, and the confidence levels of such identifications.
Abstract translation: 基于机器学习的方法来改进特定领域或业务环境中的知识提取过程，然后将提取的知识提供给能够快速总结和传送大量信息的单词云用户界面显示。 基于发明人开发的自我训练机制，通过处理和分析定义的通信数据语料库，本体编程自动训练自己来了解通信数据的领域或环境。 开发的本体可以应用于处理通信信息的数据集以创建可以提供对数据集的内容的快速观看的词云，包括关于通信中的参与者使用的语言的信息，诸如识别用户密钥 短语和术语，这些短语的频率，短语条款的发起者以及这种识别的置信水平。
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公开(公告)号：US09232063B2
公开(公告)日：2016-01-05
申请号：US14529101
申请日：2014-10-30
Applicant: Verint Systems Ltd.
Inventor： Roni Romano , Rahm Fehr
CPC classification number: G06F17/271 , G06F17/2785 , G06N5/022 , G06N99/005 , H04M3/2218 , H04M3/42221 , H04M3/5175 , H04M3/5183 , H04M2203/2038
Abstract: The disclosed solution uses machine learning-based methods to improve the knowledge extraction process in a specific domain or business environment. By formulizing a specific company's internal knowledge and terminology, the ontology programming accounts for linguistic meaning to surface relevant and important content for analysis. Based on the self-training mechanism developed by the inventors, the ontology programming automatically trains itself to understand the business environment by processing and analyzing a defined corpus of communication data. For example, the disclosed ontology programming adapts to the language used in a specific domain, including linguistic patterns and properties, such as word order, relationships between terms, and syntactical variations. The disclosed system and method further relates to leveraging the ontology to assess a dataset and conduct a funnel analysis to identify patterns, or sequences of events, in the dataset.
Abstract translation: 所公开的解决方案使用基于机器学习的方法来改进特定域或业务环境中的知识提取过程。 通过制定具体公司的内部知识和术语，本体论规划将语言意义表达出来，用于分析相关和重要的内容。 基于发明人开发的自我训练机制，本体编程通过处理和分析定义的通信数据语料库自动训练自己来了解业务环境。 例如，所公开的本体编程适应于特定领域中使用的语言，包括语言模式和属性，例如单词顺序，术语之间的关系和语法变体。 所公开的系统和方法还涉及利用本体来评估数据集并进行漏斗分析以识别数据集中的模式或事件序列。
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Patent Agency Ranking
公开(公告)号：US11841890B2
公开(公告)日：2023-12-12
申请号：US17188239
申请日：2021-03-01
Applicant: Verint Systems Ltd.
Inventor： Roni Romano , Galia Zacay , Rahm Fehr
IPC: G06F16/34 , G06Q10/10 , G06Q30/016 , G06N5/022
CPC classification number: G06F16/345 , G06Q10/10 , G06Q30/016 , G06N5/022
Abstract: A faster and more streamlined system for providing summary and analysis of large amounts of communication data is described. System and methods are disclosed that employ an ontology to automatically summarize communication data and present the summary to the user in a form that does not require the user to listen to the communication data. In one embodiment, the summary is presented as written snippets, or short fragments, of relevant communication data that capture the meaning of the data relating to a search performed by the user. Such snippets may be based on theme and meaning unit identification.
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公开(公告)号：US20190018894A1
公开(公告)日：2019-01-17
申请号：US15985157
申请日：2018-05-21
Applicant: Verint Systems Ltd.
Inventor： Roni Romano , Galia Zacay , Rahm Fehr
Abstract: A faster and more streamlined system for providing summary and analysis of large amounts of communication data is described. System and methods are disclosed that employ an ontology to automatically summarize communication data and present the summary to the user in a form that does not require the user to listen to the communication data. In one embodiment, the summary is presented as written snippets, or short fragments, of relevant communication data that capture the meaning of the data relating to a search performed by the user. Such snippets may be based on theme and meaning unit identification.
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公开(公告)号：US20170154028A1
公开(公告)日：2017-06-01
申请号：US15373043
申请日：2016-12-08
Applicant: Verint Systems Ltd.
Inventor： Roni Romano , Rahm Fehr
CPC classification number: G06F17/271 , G06F17/2785 , G06N5/022 , G06N99/005 , H04M3/2218 , H04M3/42221 , H04M3/5175 , H04M3/5183 , H04M2203/2038
Abstract: The disclosed solution uses machine learning-based methods to improve the knowledge extraction process in a specific domain or business environment. By formulizing a specific company's internal knowledge and terminology, the ontology programming accounts for linguistic meaning to surface relevant and important content for analysis. Based on the self-training mechanism developed by the inventors, the ontology programming automatically trains itself to understand the business environment by processing and analyzing a defined corpus of communication data. For example, the disclosed ontology programming adapts to the language used in a specific domain, including linguistic patterns and properties, such as word order, relationships between terms, and syntactical variations. The disclosed system and method further relates to leveraging the ontology to assess a dataset and conduct a funnel analysis to identify patterns, or sequences of events, in the dataset.
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公开(公告)号：US09569743B2
公开(公告)日：2017-02-14
申请号：US14608787
申请日：2015-01-29
Applicant: Verint Systems Ltd.
Inventor： Rahm Fehr , Roni Romano , Omer Ziv
CPC classification number: G06Q30/016 , G06N5/022 , G06N99/005 , G06Q10/0637
Abstract: Systems, methods, and media for the application of funnel analysis using desktop analytics and textual analytics to map and analyze the flow of customer service interactions. In an example implementation, the method includes: defining at least one flow that is representative of a series of events comprising at least one speech event, at least one Data Processing Activity (DPA) event, and at least one Computer Telephone Integration (CTI) event; receiving customer service interaction data comprising communication data, DPA metadata, and CTI metadata; applying the at least one flow to the customer service interaction data; determining if the customer service interaction data meets the at least one flow; and producing an automated indication based upon the determination.
Abstract translation: 使用桌面分析和文本分析应用漏斗分析的系统，方法和媒体来映射和分析客户服务交互的流程。 在示例实现中，该方法包括：定义表示包括至少一个语音事件，至少一个数据处理活动（DPA）事件和至少一个计算机电话集成（CTI））的一系列事件的至少一个流， 事件; 接收包括通信数据，DPA元数据和CTI元数据的客户服务交互数据; 将所述至少一个流应用于所述客户服务交互数据; 确定所述客户服务交互数据是否满足所述至少一个流程; 以及基于所述确定产生自动指示。
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公开(公告)号：US20150222752A1
公开(公告)日：2015-08-06
申请号：US14608787
申请日：2015-01-29
Applicant: Verint Systems Ltd.
Inventor： Rahm Fehr , Roni Romano , Omer Ziv
CPC classification number: G06Q30/016 , G06N5/022 , G06N99/005 , G06Q10/0637
Abstract: Systems, methods, and media for the application of funnel analysis using desktop analytics and textual analytics to map and analyze the flow of customer service interactions. In an example implementation, the method includes: defining at least one flow that is representative of a series of events comprising at least one speech event, at least one Data Processing Activity (DPA) event, and at least one Computer Telephone Integration (CTI) event; receiving customer service interaction data comprising communication data, DPA metadata, and CTI metadata; applying the at least one flow to the customer service interaction data; determining if the customer service interaction data meets the at least one flow; and producing an automated indication based upon the determination.
Abstract translation: 使用桌面分析和文本分析应用漏斗分析的系统，方法和媒体来映射和分析客户服务交互的流程。 在示例实现中，该方法包括：定义表示包括至少一个语音事件，至少一个数据处理活动（DPA）事件和至少一个计算机电话集成（CTI））的一系列事件的至少一个流， 事件; 接收包括通信数据，DPA元数据和CTI元数据的客户服务交互数据; 将所述至少一个流应用于所述客户服务交互数据; 确定所述客户服务交互数据是否满足所述至少一个流程; 以及基于所述确定产生自动指示。
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