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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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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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公开(公告)号：US20140222419A1
公开(公告)日：2014-08-07
申请号：US14173435
申请日：2014-02-05
Applicant: Verint Systems Ltd.
Inventor： Roni Romano , Yair Horesh , Jeremie Dreyfuss
IPC: G06F17/27
CPC classification number: G06N5/022 , G06F16/367
Abstract: Systems and methods of automated ontology development include a corpus of communication data. The corpus of communication data includes communication data from a plurality of interactions and is processed. A plurality of terms are extracted from the corpus. Each term of the plurality is a plurality of words that identify a single concept within the corpus. An ontology is automatedly generated from the extracted terms.
Abstract translation: 自动本体发展的系统和方法包括通信数据语料库。 通信数据的语料库包括来自多个交互的通信数据并被处理。 从语料库中提取多个项。 多个的每个术语是识别语料库内的单个概念的多个单词。 从提取的术语中自动生成本体。
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Patent Agency Ranking
公开(公告)号：US11954140B2
公开(公告)日：2024-04-09
申请号：US17666388
申请日：2022-02-07
Applicant: Verint Systems Ltd.
Inventor： Roni Romano
IPC: G06F16/36 , G06F40/247 , G06F40/30 , G06N5/022
CPC classification number: G06F16/367 , G06F40/247 , G06F40/30 , G06N5/022
Abstract: 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. The ontology is built on the premise that meaningful terms are detected in the corpus and then classified according to specific semantic concepts, or entities. Once the main terms are defined, direct relations or linkages can be formed between these terms and their associated entities. Then, the relations are grouped into themes, which are groups or abstracts that contain synonymous relations. 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 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.
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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：US10860566B1
公开(公告)日：2020-12-08
申请号：US15623827
申请日：2017-06-15
Applicant: Verint Systems Ltd.
Inventor： Roni Romano , Yair Horesh
IPC: G06F16/23 , G06F16/2457
Abstract: An embodiment of the method of processing communication data to identify one or more themes within the communication data includes identifying terms in a set of communication data, wherein a term is a word or short phrase, and defining relations in the set of communication data based on the terms, wherein the relation is a pair of terms that appear in proximity to one another. The method further includes identifying themes in the set of communication data based on the relations, wherein a theme is a group of one or more relations that have similar meanings, and storing the terms, the relations, and the themes in the database.
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公开(公告)号：US10255346B2
公开(公告)日：2019-04-09
申请号：US14608737
申请日：2015-01-29
Applicant: Verint Systems Ltd.
Inventor： Yair Horesh , Roni Romano , Uri Segal , Omer Ziv
Abstract: Systems, methods, and media for developing ontologies and analyzing communication data are provided herein. In an example implementation, the method includes: identifying terms in in a set of communication data; identifying a list of possible relations of the identified terms; scoring the possible relations according to a set of predefined merits; ranking the possible relations into a list of possible relations in descending order according to their score; and tagging relations in the set of communication data. The relations may be tagged by identifying the possible relations in the communication data in order corresponding with the list of possible relations. The possible relations that have lower rankings that conflict with higher ranking relations are not tagged. The conflicts may be determined by a predefined set of conflict criteria.
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