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SYSTEM AND METHOD FOR QUANTIFYING MEETING EFFECTIVENESS USING NATURAL LANGUAGE PROCESSING

机译：使用自然语言处理量化满足效果的系统和方法

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摘要

Systems, methods, and computer-readable storage media for quantifying meeting effectiveness for an individual. A system configured as disclosed herein uses data from multiple meetings in which a user participated to create a user profile for the user. The system then receives data related to a new meeting in which the user participated, processes the new meeting data into segments using natural language processing, tags the resulting segments based on contexts, and compares the tagged segments to the user profile to generate a meeting effectiveness score for the new meeting which is specific to the user. The system can use machine learning to iteratively improve an ability of the system to generate the tagged segments using historical meeting data and updating that historical meeting data with each iteration of scoring a meeting's effectiveness.

机译：用于量化个人的系统，方法和计算机可读存储介质。如本文所公开的系统使用来自用户参与的多个会议的数据，其中参与用户为用户创建用户简档。然后系统然后接收与用户参与的新会议相关的数据，其中使用自然语言处理将新的会议数据处理到段中，基于上下文标记生成的段，并将标记的段与用户配置文件进行比较以生成满足效率对用户特定的新会议的分数。该系统可以使用机器学习来迭代地提高系统使用历史会议数据生成标记段的能力，并使用每次迭代进行评分会议的有效性。

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公开/公告号US2022013114A1

专利类型
公开/公告日2022-01-13

原文格式PDF
申请/专利权人 CAPITAL ONE SERVICES LLC;
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申请/专利号US202016925903
发明设计人 CHRISTOPHER CAMENARES;JASON TROST;PATRICK SOFO;JOSEPH BOAYUE;GEETA SHYAMALA;ANA CRUZ;NAHID FARHADY GHALATY;VINCENT PHAM;
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申请日2020-07-10
分类号G10L15/22;G10L15/18;G06F3/16;G06N20;
国家 US
入库时间 2022-08-24 23:20:27

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