In the recent times, automatic detection of human personality traits has received a lot of attention. Specifically, multimodal personality trait prediction  has emerged as a hot topic within the field of affective computing. In this paper, we give an overview of the advances in machine learning based automated personality detection with an emphasis on deep learning techniques. We compare various popular approaches in this field based on input modality, the computational datasetsavailable and discuss potential industrial applications. We also discuss the state-of-the-art machine learning models for different modalities of input such as text, audio, visual and multimodal . Personality detection is a very broad topic and this literature survey focuses mainly on machine learning techniques rather than the psychological aspect of personality detection.
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.
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In the recent times, automatic detection of human
Recently, the automatic prediction of
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multimodal
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from multimodal data
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give an overview of the advances in machine learning based automated personality detection
review significant machine learning models which have been employed for personality detection,
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learning techniques. We compare various popular approaches in this field based on input modality, the computational datasetsavailable and discuss potential industrial applications. We also discuss the
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
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different modalities of input such as text, audio, visual and multimodal
personality detection with specific focus on multimodal approaches
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topic and this literature survey focuses mainly on machine learning techniques rather than the psychological aspect of
and diverse topic: this survey only focuses on computational approaches and leaves out psychological studies on