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MACHINE LEARNING FROM TONE ANALYSIS IN ONLINE CUSTOMER SERVICE

机译:在线客户服务中的音调分析中的机器学习

摘要

One embodiment provides a method that includes receiving adjusted labeled data based on emotional tone factors. Words are analyzed using a tone latent Dirichlet allocation (T-LDA) model that models tone intensity using the emotional tone factors and integrating the adjusted labeled data. Representative words are provided for each emotional tone factor based on using the T-LDA model. The representative words are obtained using the T-LDA model based on determining posterior probabilities and adjusting the posterior probabilities based on an auxiliary topic.
机译:一个实施例提供了一种方法,该方法包括基于情绪音调因子接收调整后的标记数据。使用语调潜在狄利克雷分配(T-LDA)模型分析单词,该模型使用情绪语调因子对语调强度进行建模并整合调整后的标记数据。基于使用T-LDA模型,为每个情绪音调因子提供了代表词。使用T-LDA模型基于确定后验概率并基于辅助主题调整后验概率来获得代表词。

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