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.

    Automated Removal of Private Information
    2.
    发明申请
    Automated Removal of Private Information 有权
    自动删除私人信息

    公开(公告)号:US20150220626A1

    公开(公告)日:2015-08-06

    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.

    Abstract translation: 本文提供了自动删除私人信息的系统,方法和媒体。 在示例实现中,用于自动移除私人信息的方法可以包括:接收通信数据的记录; 对抄本应用私人信息规则,以识别抄本中的私人信息; 使用包括所述私人信息的标识的标签来标识所识别的私人信息; 对标记的誊本应用复杂的规则,以评估抄本与隐私标准的合规性; 从抄本中删除所识别的私人信息以产生经修订的交易; 并存储编码的转录物。

    AUTOMATED REMOVAL OF PRIVATE INFORMATION
    5.
    发明申请

    公开(公告)号:US20200380019A1

    公开(公告)日:2020-12-03

    申请号:US16995227

    申请日:2020-08-17

    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.

    Automated removal of private information

    公开(公告)号:US10747797B2

    公开(公告)日:2020-08-18

    申请号:US15728616

    申请日:2017-10-10

    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.

    AUTOMATED REMOVAL OF PRIVATE INFORMATION
    7.
    发明申请

    公开(公告)号:US20180089313A1

    公开(公告)日:2018-03-29

    申请号:US15728616

    申请日:2017-10-10

    CPC classification number: G06F16/335

    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.

    3D ANALYTICS
    8.
    发明申请
    3D ANALYTICS 审中-公开
    3D分析

    公开(公告)号:US20160034509A1

    公开(公告)日:2016-02-04

    申请号:US14793774

    申请日:2015-07-08

    Inventor: Saar Carmi

    CPC classification number: G06T11/206 G06N5/022

    Abstract: Herein is disclosed an ontology solution that may incorporate four main stages, including training, ontology administration, ontology tagging, and ontology analytics. The training step involves internal machine learning in which the system learns the customer's specific domain. An initial ontology is passed to the ontology administration step where a user reviews the initial ontology and refines it to create a refined ontology. The refined ontology is then stored and passed to the tagging module. Tagging is a continuous online process that uses the ontology to tag tracked items in incoming interactions, and stores the tagged interactions in a persistent repository. Finally the tagged interactions are then used by the analytics module to analyze and extract business data based on an enhanced formulization of a company's internal knowledge and terminology.

    Abstract translation: 本文公开了本体解决方案,其可以包括四个主要阶段,包括训练,本体管理,本体标记和本体分析。 培训步骤涉及内部机器学习,其中系统学习客户的特定领域。 初始本体被传递到本体管理步骤,用户回顾初始本体并对其进行优化以创建精简的本体。 然后将精制本体存储并传递给标记模块。 标签是一个连续的在线过程,它使用本体来标记传入交互中的跟踪项目,并将标记的交互存储在持久存储库中。 最后,分析模块然后使用标记的交互来基于公司内部知识和术语的增强公式来分析和提取业务数据。

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