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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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
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spelling doaj-128ce2e2553f41f4a5e962e5f2f891c92021-09-06T19:19:43ZengDe GruyterOpen Computer Science2299-10932020-07-0110117519310.1515/comp-2020-0188comp-2020-0188A Systematic Literature Review of Personality Trait Classification from Textual ContentAhmad Hussain0Asghar Muhammad Zubair1Khan Alam Sher2Habib Anam3Institute of Computing and Information Technology, Gomal University, D.I. Khan and 29220, PakistanInstitute of Computing and Information Technology, Gomal University, D.I. Khan and 29220, PakistanInstitute of Computing and Information Technology, Gomal University, D.I. Khan and 29220, PakistanInstitute of Computing and Information Technology, Gomal University, D.I. Khan and 29220, PakistanThe 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.https://doi.org/10.1515/comp-2020-0188personality traitsmachine learningdeep learningpersonality recognition
collection DOAJ
language English
format Article
sources DOAJ
author Ahmad Hussain
Asghar Muhammad Zubair
Khan Alam Sher
Habib Anam
spellingShingle Ahmad Hussain
Asghar Muhammad Zubair
Khan Alam Sher
Habib Anam
A Systematic Literature Review of Personality Trait Classification from Textual Content
Open Computer Science
personality traits
machine learning
deep learning
personality recognition
author_facet Ahmad Hussain
Asghar Muhammad Zubair
Khan Alam Sher
Habib Anam
author_sort Ahmad Hussain
title A Systematic Literature Review of Personality Trait Classification from Textual Content
title_short A Systematic Literature Review of Personality Trait Classification from Textual Content
title_full A Systematic Literature Review of Personality Trait Classification from Textual Content
title_fullStr A Systematic Literature Review of Personality Trait Classification from Textual Content
title_full_unstemmed A Systematic Literature Review of Personality Trait Classification from Textual Content
title_sort systematic literature review of personality trait classification from textual content
publisher De Gruyter
series Open Computer Science
issn 2299-1093
publishDate 2020-07-01
description 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.
topic personality traits
machine learning
deep learning
personality recognition
url https://doi.org/10.1515/comp-2020-0188
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