Open AccessArchitecture Design of Emotion Recognition Early Warning System Based on AE-TAN Algorithm
Author(s) -
Yongxiong Zhang,
Xiangzheng Huang,
Liangming Wang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1646/1/012106
Subject(s) - concurrency , computer science , warning system , algorithm , recall , architecture , speech recognition , psychology , distributed computing , cognitive psychology , art , visual arts , telecommunications
In order to improve the analysis effect of human emotion text data, this paper proposed NB algorithm, TAN algorithm and AE-TAN algorithm model method. In addition, three index parameters, precision, recall and F1 value, are compared and analyzed under three different algorithm model scenarios. The experimental results show that the AE-TAN algorithm is superior to the other two algorithms in Chinese text emotion analysis. Based on the AE-TAN algorithm, the architecture design scheme of emotion recognition early warning system was proposed in this paper, which has the characteristics of high concurrency and high availability, thus laying a technical foundation for the system that can quickly and accurately warn people of psychological problems.