PsyAttention: Psychological Attention Model for Personality Detection
Baohua Zhang Yongyi Huang Wenyao Cui Huaping Zhang Jianyun Shang
Work on personality detection has tended to incorporate psychological
features from different personality models, such as BigFive and MBTI. There are
more than 900 psychological features, each of which is helpful for personality
detection. However, when used in combination, the application of different
calculation standards among these features may result in interference between
features calculated using distinct systems, thereby introducing noise and
reducing performance. This paper adapts different psychological models in the
proposed PsyAttention for personality detection, which can effectively encode
psychological features, reducing their number by 85%. In experiments on the
BigFive and MBTI models, PysAttention achieved average accuracy of 65.66% and
86.30%, respectively, outperforming state-of-the-art methods, indicating that
it is effective at encoding psychological features.