Call summary
    1.
    发明授权

    公开(公告)号:US09977830B2

    公开(公告)日:2018-05-22

    申请号:US14610249

    申请日:2015-01-30

    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.

    CALL SUMMARY
    2.
    发明申请
    CALL SUMMARY 有权
    电话摘要

    公开(公告)号:US20150220630A1

    公开(公告)日:2015-08-06

    申请号:US14610249

    申请日:2015-01-30

    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。

    Call summary
    3.
    发明授权

    公开(公告)号:US11841890B2

    公开(公告)日:2023-12-12

    申请号:US17188239

    申请日:2021-03-01

    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.

    CALL SUMMARY
    4.
    发明申请
    CALL SUMMARY 审中-公开

    公开(公告)号:US20190018894A1

    公开(公告)日:2019-01-17

    申请号:US15985157

    申请日:2018-05-21

    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.

    Word cloud display
    6.
    发明授权
    Word cloud display 有权
    字云显示

    公开(公告)号:US09575936B2

    公开(公告)日:2017-02-21

    申请号:US14801761

    申请日:2015-07-16

    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。

    WORD CLOUD DISPLAY
    7.
    发明申请
    WORD CLOUD DISPLAY 有权
    词云显示

    公开(公告)号:US20160019885A1

    公开(公告)日:2016-01-21

    申请号:US14801761

    申请日:2015-07-16

    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。

    CALL SUMMARY
    8.
    发明申请

    公开(公告)号:US20210182326A1

    公开(公告)日:2021-06-17

    申请号:US17188239

    申请日:2021-03-01

    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.

    Call summary
    9.
    发明授权

    公开(公告)号:US10936641B2

    公开(公告)日:2021-03-02

    申请号:US15985157

    申请日:2018-05-21

    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.

    Automated removal of private information

    公开(公告)号:US09817892B2

    公开(公告)日:2017-11-14

    申请号:US14609783

    申请日:2015-01-30

    CPC classification number: G06F17/30699

    Abstract: Systems, methods, and media for the automated removal of private information are provided herein. In an example implementation, a method for automatic removal of private information may include: receiving a transcript of communication data; applying a private information rule to the transcript in order to identify private information in the transcript; tagging the identified private information with a tag comprising an identification of the private information; applying a complicate rule to the tagged transcript in order to evaluate a compliance of the transcript with privacy standards; removing the identified private information from the transcript to produce a redacted transaction; and storing the redacted transcript.

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