SURVEY ON PERSONALITY DETECTION USING DEEP LEARNING TECHNIQUES

Detection of the personality involves the extraction of behavioral traits, feelings, motives, and ideas. Many people get much knowledge across their social networks. This highly necessitates the need to derive the personality characteristics from some of the documents, photos, videos. Certain human...

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Bibliographic Details
Published in2021 6th International Conference on Communication and Electronics Systems (ICCES) pp. 1 - 8
Main Authors Prasanthi, J., Anuradha, G.
Format Conference Proceeding
LanguageEnglish
Published IEEE 08.07.2021
Subjects
Convolutional Neural Network
Deep learning
Neural networks
Recurrent Neural Network
Sentiment Analysis
Social networking (online)
Sociology
Task analysis
Text analysis
Text recognition
Training
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Summary:Detection of the personality involves the extraction of behavioral traits, feelings, motives, and ideas. Many people get much knowledge across their social networks. This highly necessitates the need to derive the personality characteristics from some of the documents, photos, videos. Certain human personality characteristics are used to detect text details, such as paragraphs, essays. Some applications are undertaken, such as Forensic, Mental Wellbeing, Diagnostic, etc. The deep learning methods are used to perform personality detection; however, it can provide activation functions called sigmoid, tan h, and leaky ReLU. Here are text documents analyzed by convolutionary neural networks and current neural networks. Some of the human activity characters are also investigated in this study. Centered on this, this research has improved efficiency and precision in the recognition of personality.
DOI:10.1109/ICCES51350.2021.9488932