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公开(公告)号：US09542382B2
公开(公告)日：2017-01-10
申请号：US14951546
申请日：2015-11-25
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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公开(公告)号：US20150189086A1
公开(公告)日：2015-07-02
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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公开(公告)号：US09977830B2
公开(公告)日：2018-05-22
申请号：US14610249
申请日：2015-01-30
Applicant: Verint Systems Ltd.
Inventor： Roni Romano , Galia Zacay , Rahm Fehr
CPC classification number: G06F17/30719 , G06N5/022 , G06Q10/10 , G06Q30/016
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：US09904927B2
公开(公告)日：2018-02-27
申请号：US15409921
申请日：2017-01-19
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.
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公开(公告)号：US20150220630A1
公开(公告)日：2015-08-06
申请号：US14610249
申请日：2015-01-30
Applicant: Verint Systems Ltd.
Inventor： Roni Romano , Galia Zacay , Rahm Fehr
IPC: G06F17/30
CPC classification number: G06F17/30719 , G06N5/022 , G06Q10/10 , G06Q30/016
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.
Abstract translation: 描述了一种用于提供大量通信数据的摘要和分析的更快速和更简化的系统。 公开了采用本体来自动总结通信数据并以不需要用户收听通信数据的形式向用户呈现摘要的系统和方法。 在一个实施例中，摘要以相关通信数据的书面片段或短片段的形式呈现，捕获与用户执行的搜索有关的数据的含义。 这样的片段可以基于主题和意义单位识别。
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Patent Agency Ranking
公开(公告)号：US20210182326A1
公开(公告)日：2021-06-17
申请号：US17188239
申请日：2021-03-01
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：US10936641B2
公开(公告)日：2021-03-02
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：US09910845B2
公开(公告)日：2018-03-06
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：US20160154782A1
公开(公告)日：2016-06-02
申请号：US14951546
申请日：2015-11-25
Applicant: Verint Systems Ltd.
Inventor： Roni Romano , Rahm Fehr
IPC: G06F17/27
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：US20170200167A1
公开(公告)日：2017-07-13
申请号：US15409921
申请日：2017-01-19
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.
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