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Performance Modification Based on Aggregation of Audience Traits and Natural Language Feedback

机译:基于听众特征和自然语言反馈的绩效修正

摘要

Mechanisms, in a natural language processing (NLP) system comprising a processor and a memory are provided. The NLP system receives a plurality of communications from a plurality of devices associated with audience members of a real-time presentation by a presenter of the presentation while the presentation is being presented. The NLP system analyzes the plurality of communications using natural language processing techniques, to identify attributes of the audience members and generates an aggregate audience model based on the identified attributes of the audience members. The aggregate audience model specifies an aggregate of attributes of the audience. Moreover, the NLP system outputs, to the presenter via a device associated with the presenter, a suggestion output identifying one or more portions of the presentation that are currently of interest to the audience members based on the aggregate audience model.
机译:提供了包括处理器和存储器的自然语言处理(NLP)系统中的机制。 NLP系统在演示被演示时,由演示的演示者从与实时演示的听众成员相关联的多个设备接收多个通信。 NLP系统使用自然语言处理技术分析多种通信,以识别受众成员的属性,并基于所识别的受众成员的属性生成聚合的受众模型。汇总受众模型指定了受众属性的汇总。而且,NLP系统经由与呈现者相关联的设备向呈现者输出建议输出,该建议输出基于聚集的听众模型来识别当前对于听众成员感兴趣的呈现的一个或多个部分。

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