Research on textual emotion recognition incorporating personality factor

Recognizing the emotion of the text plays a key role in the human-computer interaction. This paper established a textual emotion recognition model incorporating personality in it. The paper defined a series of basic emotion reasoning rules and revised it to user´s emotion reasoning rules on the basis of personality model. The basic emotion reasoning rules in the paper were built according to OCC model but simplified the 22 emotional rules of OCC model into 16 rules according to the specific feature of the text. To include the personal factor, the paper analyzed each dimension of the FFM (five-factor model) and modified the basic emotion rules based on the features of each dimension, and then built user´s emotion reasoning rules for different people. At the end, the paper using two experiments compared the results of textual emotion recognition including personal factor with the one not including the personal feature. The results show that after mixing the personal factor in it, the emotion recognition accuracy increases a lot and that the results of emotion recognition follow the nature law of human personality.