AI Knows You: Deep Learning Model for Prediction of Extroversion Personality Trait

The recent rise of Artificial Intelligence (AI) has already revolutionized human lives and is improving the quality of human life in many ways. The field of AI, Natural Language Processing (NLP), helps to understand, comprehend and even generate new content. NLP is used for various content analysis...

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Main Authors: Anam Naz, Hikmat Ullah Khan, Sami Alesawi, Omar Ibrahim Abouola, Ali Daud, Muhammad Ramzan
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
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Online Access:https://ieeexplore.ieee.org/document/10735203/
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author Anam Naz
Hikmat Ullah Khan
Sami Alesawi
Omar Ibrahim Abouola
Ali Daud
Muhammad Ramzan
author_facet Anam Naz
Hikmat Ullah Khan
Sami Alesawi
Omar Ibrahim Abouola
Ali Daud
Muhammad Ramzan
author_sort Anam Naz
collection DOAJ
description The recent rise of Artificial Intelligence (AI) has already revolutionized human lives and is improving the quality of human life in many ways. The field of AI, Natural Language Processing (NLP), helps to understand, comprehend and even generate new content. NLP is used for various content analysis tasks such as sentiment analysis, fake news detection, etc. However, human personality traits detection is a new research domain. Analyzing users generated content has a significant role in identifying and understanding users’ views and behaviors. Users’ traits detection can be helpful in analysis of consumers’ personalization, finding top candidates for recruitment, career counselling, etc. In this research study, our aim is to predict personality of extroversion behaviors using machine and deep learning approaches. Extroversion means whether a person is an introvert or extrovert as this trait is relevant to certain jobs like team management, social ties etc. For empirical analysis, we investigate MBTI dataset with various feature engineering techniques including textual features like Term Frequency-Inverse Document Frequency (TF-IDF), Parts of Speech (PoS) tagging, as well as deep word embeddings ok word2vec, GloVe. The state-of-the-art shallow machine learning, ensemble modelling and deep learning models are applied. The main novelty is the exploration of latest sentence embeddings which captures semantic information of content in a better manner. Thus, the comprehensive results analysis reveals sentence embeddings as features to Bi-LSTM achieves highest accuracy of 92.52% and outperforms the existing studies in the relevant literature.
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spelling doaj-art-0ef5bb417b5f4ed7abe73253f2daee0b2025-08-20T02:26:27ZengIEEEIEEE Access2169-35362024-01-011215915215917510.1109/ACCESS.2024.348657810735203AI Knows You: Deep Learning Model for Prediction of Extroversion Personality TraitAnam Naz0Hikmat Ullah Khan1https://orcid.org/0000-0002-8178-6652Sami Alesawi2https://orcid.org/0000-0002-4422-8678Omar Ibrahim Abouola3https://orcid.org/0000-0003-3928-2562Ali Daud4https://orcid.org/0000-0002-8284-6354Muhammad Ramzan5https://orcid.org/0000-0003-1770-8905Department of Computer Science, University of Sargodha, Punjab, PakistanDepartment of Information Technology, University of Sargodha, Punjab, PakistanDepartment of Computer Science, King Abdulaziz University, Rabigh, Saudi ArabiaDepartment of Information Systems and Technology, College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi ArabiaFaculty of Resilience, Rabdan Academy, Abu Dhabi, United Arab EmiratesDepartment of Software Engineering, University of Sargodha, Punjab, PakistanThe recent rise of Artificial Intelligence (AI) has already revolutionized human lives and is improving the quality of human life in many ways. The field of AI, Natural Language Processing (NLP), helps to understand, comprehend and even generate new content. NLP is used for various content analysis tasks such as sentiment analysis, fake news detection, etc. However, human personality traits detection is a new research domain. Analyzing users generated content has a significant role in identifying and understanding users’ views and behaviors. Users’ traits detection can be helpful in analysis of consumers’ personalization, finding top candidates for recruitment, career counselling, etc. In this research study, our aim is to predict personality of extroversion behaviors using machine and deep learning approaches. Extroversion means whether a person is an introvert or extrovert as this trait is relevant to certain jobs like team management, social ties etc. For empirical analysis, we investigate MBTI dataset with various feature engineering techniques including textual features like Term Frequency-Inverse Document Frequency (TF-IDF), Parts of Speech (PoS) tagging, as well as deep word embeddings ok word2vec, GloVe. The state-of-the-art shallow machine learning, ensemble modelling and deep learning models are applied. The main novelty is the exploration of latest sentence embeddings which captures semantic information of content in a better manner. Thus, the comprehensive results analysis reveals sentence embeddings as features to Bi-LSTM achieves highest accuracy of 92.52% and outperforms the existing studies in the relevant literature.https://ieeexplore.ieee.org/document/10735203/Cognitive sciencedeep embeddingsdeep learningfeature engineeringmachine learningpsychology
spellingShingle Anam Naz
Hikmat Ullah Khan
Sami Alesawi
Omar Ibrahim Abouola
Ali Daud
Muhammad Ramzan
AI Knows You: Deep Learning Model for Prediction of Extroversion Personality Trait
IEEE Access
Cognitive science
deep embeddings
deep learning
feature engineering
machine learning
psychology
title AI Knows You: Deep Learning Model for Prediction of Extroversion Personality Trait
title_full AI Knows You: Deep Learning Model for Prediction of Extroversion Personality Trait
title_fullStr AI Knows You: Deep Learning Model for Prediction of Extroversion Personality Trait
title_full_unstemmed AI Knows You: Deep Learning Model for Prediction of Extroversion Personality Trait
title_short AI Knows You: Deep Learning Model for Prediction of Extroversion Personality Trait
title_sort ai knows you deep learning model for prediction of extroversion personality trait
topic Cognitive science
deep embeddings
deep learning
feature engineering
machine learning
psychology
url https://ieeexplore.ieee.org/document/10735203/
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