Recently, the automatic prediction of personality traits has received a lot of attention. Specifically, personality trait prediction from multimodal data has emerged as a hot topic within the field of affective computing. In this paper, we review significant machine learning models which have been employed for personality detection, with an emphasis on deep learning-based methods. This review paper provides an overview of the most popular approaches to automated personality detection, various computational datasets, its industrial applications, and state-of-the-art machine learning models for personality detection with specific focus on multimodal approaches. Personality detection is a very broad and diverse topic: this survey only focuses on computational approaches and leaves out psychological studies on personality detection.

中文翻译：

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基于深度学习的个性检测的最新趋势

最近，个性特征的自动预测受到了很多关注。具体而言，多模态数据的人格特质预测已成为情感计算领域的热门话题。在本文中，我们回顾了用于个性检测的重要机器学习模型，重点是基于深度学习的方法。这篇评论论文概述了最流行的自动个性检测方法、各种计算数据集、其工业应用以及用于个性检测的最先进机器学习模型，特别关注多模态方法。个性检测是一个非常广泛和多样化的主题：本次调查仅关注计算方法，而忽略了对个性检测的心理学研究。