删除或更新信息，请邮件至freekaoyan#163.com(#换成@)

一种基于Hawkes过程的隐藏情绪倾向识别方法

本站小编 Free考研考试/2021-12-21
本文二维码信息
二维码（扫一下试试看！）
一种基于Hawkes过程的隐藏情绪倾向识别方法
A Hidden Sentiment Detection Method Based on Hawkes Process
投稿时间：2018-10-20
DOI：10.15918/j.tbit1001-0645.2019.10.016
中文关键词:情绪倾向识别智能交互霍克斯过程隐马可夫模型
English Keywords:sentiment detectionintelligent interactionHawkes processhidden Markov model (HMM)
基金项目:重庆市基础科学与前沿技术研究资助项目（cstc2017jcyjAX0089/BX0059）；国家自然科学基金资助项目（61502064，61502065）
作者单位
向南重庆理工大学 两江国际学院, 重庆 400054
张明敏浙江大学 计算机学院, 浙江, 杭州 310058
杨黎丽重庆理工大学 两江国际学院, 重庆 400054
摘要点击次数:811
全文下载次数:450
中文摘要:
为有效模拟情绪的动态转换过程，检测个体在交互过程中隐藏的情绪倾向从而提高虚拟交互过程的智能性，首先利用Hawkes过程模拟个体情绪的产生与衰退过程，然后利用隐马尔科夫模型检测个体的表情并将其映射到情绪模型的维度空间，最后通过对比受到事件刺激前后观测到的情绪状态来推导个体针对事件的情绪倾向.在个体隐藏情绪状态的情况下，系统采用持续追加正向刺激的策略激活个体的情绪表达，对于无法检测到情绪表达的状态采用默认为负倾向的策略.实验显示，本方法能够有效计算个体隐藏的情绪倾向并提高交互的智能性.
English Summary:
In order to simulate the dynamic transformation process of emotion effectively and detect the hidden sentiment of individuals in the interaction process, so as to improve the intelligence of virtual interaction process, a Hawkes process was used to simulate the process of individual emotion generation and decline firstly. Then the individual's expression was detected by the hidden Markov model and mapped to the dimensional space of the emotional model. Finally, the sentiment of the individual was derived by comparing the emotional states that observed after and before the event stimulus. In the case when an individual hidden the emotional states, a strategy, continually appending positive stimulation to the individual, was introduced to activate the emotional expressions, and adopted the negative as the default sentiment for the unsuccessful detection of the emotional expressions. Experiments show that, this method can effectively calculate individual's hidden sentiment and improve the intelligence of interaction.
查看全文查看/发表评论下载PDF阅读器
相关话题/过程 重庆理工大学 重庆 国际学院 浙江

Free考研考试FreeKaoYan.Com
欢迎来到Free考研考试，"为实现人生的Free而奋斗"

© 2020 FreeKaoYan! . All rights reserved.