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An emotional feedback system based on a regulation process model for happiness improvement

机译:基于调节过程模型的情感反馈系统,用于改善幸福感

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In this paper, an integrated emotion regulation system (IERS) is proposed based on the regulation process model for happiness improvement. Including extracting the valuable information from user's contents on social network, the IERS analyzes users' emotion variation and semanteme reflecting to the regulation process model and aim to appropriately feedback to users. The feedback sentences are chosen from regulation corpus which is positive and motivated. The proposed IERS works at the word level and the emotional topics is classified by SVM through the corpus collected from Facebook wall, whereas feedback strategy sentences is chosen through Point-Wise Mutual Information (PMI) features. The accuracy result of seven-type emotion recognition can achieve higher than 50%. The pre- and post-experiment results are evaluated by 20 participants in one week of observation, of which the result implies the proposed system can practically improve the happiness.
机译:本文基于调节过程模型,提出了一种综合情绪调节系统(IERS),以提高幸福感。 IERS包括从社交网络上的用户内容中提取有价值的信息,分析用户的情绪变化和语义,以反映到调节过程模型中,并旨在适当地反馈给用户。反馈语句选自积极而积极的调节语料库。拟议的IERS在单词层面起作用,情感主题由SVM通过从Facebook墙收集的语料库进行分类,而反馈策略语句则通过Point-Wise Mutual Information(PMI)功能进行选择。七种情绪识别的准确性结果可以达到50%以上。实验前和实验后的结果由20名参与者在一周的观察时间内进行了评估,这表明所提出的系统实际上可以改善幸福感。

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