Deep Learning-Based Document Modeling for Personality Detection from Text

@article{Majumder2017DeepLD,
  title={Deep Learning-Based Document Modeling for Personality Detection from Text},
  author={Navonil Majumder and Soujanya Poria and Alexander Gelbukh and E. Cambria},
  journal={IEEE Intelligent Systems},
  year={2017},
  volume={32},
  pages={74-79}
}
This article presents a deep learning based method for determining the author's personality type from text: given a text, the presence or absence of the Big Five traits is detected in the author's psychological profile. [] Key Method Namely, the classifier is implemented as a specially designed deep convolutional neural network, with injection of the document-level Mairesse features, extracted directly from the text, into an inner layer.

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