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Comparative Study of Data Sources, Features, and Approaches for Automatic Personality Classification from Text

by Jayshri Patil, Jikitsha Sheth
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 174 - Number 10
Year of Publication: 2021
Authors: Jayshri Patil, Jikitsha Sheth
10.5120/ijca2021920968

Jayshri Patil, Jikitsha Sheth . Comparative Study of Data Sources, Features, and Approaches for Automatic Personality Classification from Text. International Journal of Computer Applications. 174, 10 ( Jan 2021), 17-23. DOI=10.5120/ijca2021920968

@article{ 10.5120/ijca2021920968,
author = { Jayshri Patil, Jikitsha Sheth },
title = { Comparative Study of Data Sources, Features, and Approaches for Automatic Personality Classification from Text },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2021 },
volume = { 174 },
number = { 10 },
month = { Jan },
year = { 2021 },
issn = { 0975-8887 },
pages = { 17-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume174/number10/31714-2021920968/ },
doi = { 10.5120/ijca2021920968 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:21:43.914043+05:30
%A Jayshri Patil
%A Jikitsha Sheth
%T Comparative Study of Data Sources, Features, and Approaches for Automatic Personality Classification from Text
%J International Journal of Computer Applications
%@ 0975-8887
%V 174
%N 10
%P 17-23
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Personality is a concern with individual differences in characteristic patterns of thinking, feeling, and behavior. Computational recognition of user personality is likely to be useful in many computational applications and technologies such as career counseling, relationship, and health counseling, human resource management, forensics, and mental health diagnosis. It involves understanding, prediction, and analysis of human behavior. The different methods have been proposed to automatically infer the user's personality from their user generated content. The paper discusses state-of-the-art personality recognition on various data sources, features, and their impact on different application areas.

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Index Terms

Computer Science
Information Sciences

Keywords

Data Sources Automatic Personality Classification