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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：US20150127652A1
公开(公告)日：2015-05-07
申请号：US14529103
申请日：2014-10-30
Applicant: Verint Systems Ltd.
Inventor： Roni Romano
IPC: G06F17/30
CPC classification number: G06F17/30734 , G06F17/30601 , G06N5/022 , G06N99/005
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. 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. 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.
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。 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。 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。
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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：US20220122609A1
公开(公告)日：2022-04-21
申请号：US17567491
申请日：2022-01-03
Applicant: Verint Systems Ltd.
Inventor： Roni Romano , Yair Horesh , Jeremie Dreyfuss
Abstract: A method of zoning a transcription of audio data includes separating the transcription of audio data into a plurality of utterances. A that each word in an utterances is a meaning unit boundary is calculated. The utterance is split into two new utterances at a work with a maximum calculated probability. At least one of the two new utterances that is shorter than a maximum utterance threshold is identified as a meaning unit.
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Patent Agency Ranking
公开(公告)号：US20210398149A1
公开(公告)日：2021-12-23
申请号：US17360025
申请日：2021-06-28
Applicant: Verint Systems Ltd.
Inventor： Yair Horesh , Roni Romano
IPC: G06Q30/02
Abstract: Improved systems and method as disclosed herein, provide automated analysis tools for more refined trend analysis and evaluation of identified trends. Communication data may be recognized as either audio or textual data which may be processed and analyzed in real-time (as in the case of streaming audio data) or processed at a time apart from the acquisition of the communication data. If the communication data is audio data, then the audio data, may undergo a transcription, which may employ the exemplary technique of large vocabulary continuous speech recognition (LVCSR) or other known speech-to-text algorithms or techniques. Alternatively, the communication data may already be in the form of a transcription or the communication data may have originated as textual data, exemplarily the communication data is from an internet web chat, email, text message, or social media.
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公开(公告)号：US20200090660A1
公开(公告)日：2020-03-19
申请号：US16553451
申请日：2019-08-28
Applicant: Verint Systems Ltd.
Inventor： Roni Romano , Yair Horesh , Jeremie Dreyfuss
Abstract: A method of zoning a transcription of audio data includes separating the transcription of audio data into a plurality of utterances. A that each word in an utterances is a meaning unit boundary is calculated. The utterance is split into two new utterances at a work with a maximum calculated probability. At least one of the two new utterances that is shorter than a maximum utterance threshold is identified as a meaning unit.
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公开(公告)号：US20190325324A1
公开(公告)日：2019-10-24
申请号：US16458482
申请日：2019-07-01
Applicant: Verint Systems Ltd.
Inventor： Roni Romano , Yair Horesh , Jeremie Dreyfuss
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.
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公开(公告)号：US20190179845A1
公开(公告)日：2019-06-13
申请号：US16243600
申请日：2019-01-09
Applicant: Verint Systems Ltd.
Inventor： Roni Romano
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：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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