Title: PsyAttention: Psychological Attention Model for Personality Detection Show Chinese title

Title: PsyAttention：用于个性检测的心理注意力模型

Abstract: 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. Show Chinese abstract

Abstract: 在人格检测方面的研究倾向于结合来自不同人格模型的心理特征，例如大五和MBTI。 有超过900个心理特征，每个特征都有助于人格检测。 然而，当这些特征组合使用时，这些特征之间不同的计算标准可能会导致使用不同系统计算的特征之间产生干扰，从而引入噪声并降低性能。 本文在提出的PsyAttention中适配了不同的心理模型，用于人格检测，可以有效编码心理特征，将其数量减少85%。 在大五和MBTI模型的实验中，PysAttention分别达到了65.66%和86.30%的平均准确率，优于最先进的方法，表明其在编码心理特征方面是有效的。