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Priori Performance Modification Based on Aggregation of Personality Traits of a Future Audience

机译:基于未来听众人格特质的先验绩效修正

摘要

Mechanisms, in a natural language processing (NLP) system comprising a processor and a memory, are provided. The NLP system receives information for identifying a plurality of audience members of an audience for an upcoming performance and retrieves personality trait information for the plurality of audience members from one or more personality trait information sources. The NLP system generates an aggregate audience model based on the personality trait information for the plurality of audience members. The aggregate audience model specifies an aggregate personality trait of the audience. The NLP system modifies a portion of the performance to tailor the performance to the aggregate personality trait of the audience as specified in 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系统接收用于识别即将到来的表演的观众的多个观众成员的信息,并从一个或多个人格特征信息源检索针对多个观众成员的人格特征信息。 NLP系统基于多个听众成员的个性特征信息生成聚合听众模型。总体受众模型指定了受众的总体个性特征。 NLP系统会修改表演的一部分,以根据综合观众模型中指定的观众的综合个性特征来调整表演。

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