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    Call flow and discourse analysis
    21.
    发明授权
    Call flow and discourse analysis 有权

    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

    IPC: H04M3/00 ,  H04M5/00 ,  G06F17/27 ,  H04M3/22 ,  H04M3/42 ,  H04M3/51

    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.

    CALL FLOW AND DISCOURSE ANALYSIS
    22.
    发明申请
    CALL FLOW AND DISCOURSE ANALYSIS 有权

    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.

    LABELING/NAMING OF THEMES
    23.
    发明申请
    LABELING/NAMING OF THEMES 审中-公开
    标签/标题

    公开(公告)号：US20150193532A1

    公开(公告)日：2015-07-09

    申请号：US14588914

    申请日：2015-01-03

    Applicant: Verint Systems Ltd.

    Inventor： Roni Romano

    IPC: G06F17/30 ,  G06N99/00

    CPC classification number: G06F17/30734 ,  G06F17/2785 ,  G06F17/2795 ,  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.

    Abstract translation: 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。 本体是建立在语料库中检测到有意义的术语，然后根据特定语义概念或实体进行分类的前提下建立的。 一旦确定了主要术语，就可以在这些术语与其相关实体之间形成直接关系或联系。 然后，将关系分为主题，即包含同义关系的组或抽象。 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。 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。

    System and Method of Automated Model Adaptation
    24.
    发明申请
    System and Method of Automated Model Adaptation 有权
    自动模型适应的系统和方法

    公开(公告)号：US20150066502A1

    公开(公告)日：2015-03-05

    申请号：US14291893

    申请日：2014-05-30

    Applicant: Verint Systems Ltd.

    Inventor： Ran Achituv ,  Omer Ziv ,  Roni Romano ,  Ido Shapira ,  Daniel Baum

    IPC: G10L15/065 ,  G10L15/14 ,  G10L15/26

    CPC classification number: G10L15/065 ,  G06F17/30746 ,  G10L15/01 ,  G10L15/07 ,  G10L15/083 ,  G10L15/14 ,  G10L15/26

    Abstract: Methods, systems, and computer readable media for automated transcription model adaptation includes obtaining audio data from a plurality of audio files. The audio data is transcribed to produce at least one audio file transcription which represents a plurality of transcription alternatives for each audio file. Speech analytics are applied to each audio file transcription. A best transcription is selected from the plurality of transcription alternatives for each audio file. Statistics from the selected best transcription are calculated. An adapted model is created from the calculated statistics.

    Abstract translation: 用于自动转录模型适应的方法，系统和计算机可读介质包括从多个音频文件获得音频数据。 音频数据被转录以产生表示每个音频文件的多个转录替代品的至少一个音频文件转录。 语音分析应用于每个音频文件转录。 从每个音频文件的多个转录替代品中选择最佳转录。 计算出所选择的最佳转录数据。 从计算的统计信息创建一个适应模型。

    Anomaly Detection in Interaction Data
    25.
    发明申请
    Anomaly Detection in Interaction Data 审中-公开
    交互数据中的异常检测

    公开(公告)号：US20140222476A1

    公开(公告)日：2014-08-07

    申请号：US14173437

    申请日：2014-02-05

    Applicant: VERINT SYSTEMS LTD.

    Inventor： Roni Romano

    IPC: G06Q10/06 ,  G06Q30/00

    CPC classification number: G06Q10/063 ,  G06Q30/016

    Abstract: Method of automated anomaly detection includes obtaining a corpus of interaction data. Regular interaction data is identified from the corpus of interaction data with a processor. New interaction data is received. The processor compares the new interaction data to the identified regular interaction data The processor identities anomalies in the new interaction data.

    Abstract translation: 自动异常检测方法包括获取交互数据的语料库。 从与处理器的交互数据的语料库中识别出常规交互数据。 收到新的交互数据。 处理器将新的交互数据与识别的常规交互数据进行比较。处理器识别新交互数据中的异常。

    Themes surfacing for communication data analysis
    29.
    发明授权
    Themes surfacing for communication data analysis 有权

    公开(公告)号：US09697246B1

    公开(公告)日：2017-07-04

    申请号：US14501519

    申请日：2014-09-30

    Applicant: Verint Systems Ltd.

    Inventor： Roni Romano ,  Yair Horesh

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

    CPC classification number: G06F17/30616 ,  G06F17/30734

    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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