  Personality detection is an old topic in psychology and Automatic Personality
Prediction (or Perception) (APP) is the automated (computationally) forecasting
of the personality on different types of human generated/exchanged contents
(such as text, speech, image, video). The principal objective of this study is
to offer a shallow (overall) review of natural language processing approaches
on APP since 2010. With the advent of deep learning and following it
transfer-learning and pre-trained model in NLP, APP research area has been a
hot topic, so in this review, methods are categorized into three; pre-trained
independent, pre-trained model based, multimodal approaches. Also, to achieve a
comprehensive comparison, reported results are informed by datasets.
