Emotion Computing Method Based On Knowledge Representation

In order to solve the shortcomings of traditional affective computing methods with low computational accuracy, a kind of affective computing method based on knowledge representation is proposed. This method is based on the introduction of knowledge representation. According to emotion node vector and emotion control vertex determination. The real number coding scheme is used to calculate the change of emotional parameters and emotional psychological state. Experimental data show that the accuracy of the proposed method is 39.5% higher than that of the traditional method.