Year: 2024
Type: article
Abstract: The usage of social networks is rising in the past few years. Most of the frequently used information is widely shared via social media networks including Facebook, Twitter, Instagram etc. Via these platforms, people can show their feelings, expressions, emotions, and opinions. These platforms provide meaningful content about users and their personality traits. Such information can be exploited to analyze the personality of the end-users. In this research, we explored a novel technique for personality modelling using Big 5 traits. We propose a comprehensive framework and machine learning pipeline that can be adopted for personality prediction. In order to solve
DOI: 10.20547/aibd.242203
Authors: Razia Qamar, Jasir Hassan
Institution: Karachi Institute of Economics and Technology
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4414218135
FWCI:
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