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Collecting naturally expressed affective responses for training an emotional response predictor utilizing voting on a social network

机译:收集自然表达的情感反应,以利用社交网络上的投票训练情绪反应预测因子

摘要

Collecting naturally expressed affective responses for training an emotional response. In one embodiment, a label generator is configured to receive a vote of a user on a segment of content consumed by the user on a social network. The label generator determines whether the user consumed the segment during a duration that is shorter than a predetermined threshold, and utilizes the vote to generate a label related to an emotional response to the segment. The predetermined threshold is selected such that, while consuming the segment in a period of time shorter than the predetermined threshold, the user is likely to have a single dominant emotional response to the segment. A training module receives the label and measurement of an affective response of the user taken during the duration, and trains an emotional response predictor with the measurement and the label.
机译:收集自然表达的情感反应以训练情绪反应。在一个实施例中,标签生成器被配置为接收用户对用户在社交网络上消费的内容片段的投票。标签生成器确定用户是否在短于预定阈值的持续时间内消耗了该片段,并利用投票来生成与对该片段的情感反应有关的标签。选择预定阈值,使得在短于预定阈值的时间段内消费该片段的同时,用户可能对该片段具有单一的主导情绪响应。训练模块接收标签和在该持续时间期间所采取的用户的情感反应的测量结果,并利用该测量结果和标签来训练情绪反应预测因子。

著录项

  • 公开/公告号US2015039405A1

    专利类型

  • 公开/公告日2015-02-05

    原文格式PDF

  • 申请/专利权人 ARI M. FRANK;GIL THIEBERGER;

    申请/专利号US201414521894

  • 发明设计人 GIL THIEBERGER;ARI M. FRANK;

    申请日2014-10-23

  • 分类号G06Q50/00;G06Q10/00;

  • 国家 US

  • 入库时间 2022-08-21 15:20:07

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