A Systematic Literature Review of Personality Trait Classification from Textual Content

A Systematic Literature Review of Personality Trait Classification from Textual Content

The day-to-day use of digital devices with Internet access, such as tablets and smartphones, has increased exponentially in recent years and this has had a consequent effect on the usage of the Internet and social media networks. When using social networks, people share personal data that is broadca...

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Bibliographic Details
Main Authors: Ahmad Hussain, Asghar Muhammad Zubair, Khan Alam Sher, Habib Anam
Format: Article
Language:English
Published: De Gruyter 2020-07-01
Series:Open Computer Science
Subjects:
personality traits
machine learning
deep learning
personality recognition
Online Access:https://doi.org/10.1515/comp-2020-0188
Description
Summary:The day-to-day use of digital devices with Internet access, such as tablets and smartphones, has increased exponentially in recent years and this has had a consequent effect on the usage of the Internet and social media networks. When using social networks, people share personal data that is broadcast between users, which provides useful information for organizations. This means that characterizing users through their social media activity is an emerging research area in the field of Natural Language Processing (NLP) and this paper will present a review of how personality can be detected using online content.
ISSN:2299-1093

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