A novel personality detection method based on high-dimensional psycholinguistic features and improved distributed Gray Wolf Optimizer for feature selection

Lin, Haoming; Wang, Chundong; Hao, Qingbo

doi:10.1016/j.ipm.2022.103217

Cited by 19 publications

(5 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Fuzzy-Logicbased approach of T. Wang et al [21] uses the Mayers-Briggs Type Indicator (MBTI) dataset to model digital personality. H. Lin et al [22] used the Gray Wolf Optimizer (GWO) to select features from high-dimensional psycho-linguistics characteristics to classify personalities. None of these approaches could outperform the performance of the proposed PersoNet because of its well-engineered network architecture developed through in-depth mathematical analysis.…”

Section: K Karunarathna Et Al Conducted a Study On Personality Classi...mentioning

confidence: 99%

PersoNet: A Novel Framework for Personality Classification-Based Apt Customer Service Agent Selection

Sandra,

Prabowo,

Gaol

et al. 2024

IEEE Access

View full text Add to dashboard Cite

Personality classification has garnered significant interest in psychology, computational social science, and Machine Learning (ML) due to its wide-ranging applications. This paper presents PersoNet, an innovative framework developed to identify personality types using the Myers-Briggs Type Indicator (MBTI), aimed at enhancing customer service experiences by matching customers with suitable support agents. PersoNet employs a Bidirectional Long Short-Term Memory (BiLSTM) neural network architecture and has achieved an impressive classification accuracy of over 93.98%. Our extensive experiments with the MBTI dataset reveal that the BiLSTM architecture effectively captures both temporal dependencies and semantic subtleties in textual data, contributing to this high level of accuracy. Consequently, PersoNet can accurately select customer service agents who match customer personalities, achieving a Customer Satisfaction Rate (CSR) of over 97.82%-a notable improvement of 20.25% in CSR based on our experimental data. These results establish PersoNet as a cutting-edge tool in personality classification, surpassing existing methods in both accuracy and computational efficiency and markedly enhancing customer service quality.

show abstract

Section: K Karunarathna Et Al Conducted a Study On Personality Classi...mentioning

confidence: 99%

PersoNet: A Novel Framework for Personality Classification-Based Apt Customer Service Agent Selection

Sandra,

Prabowo,

Gaol

et al. 2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…In recent years, more and more researchers consider personality as a valuable factor and incorporate it into various tasks to significantly improve performance. In order to automatically obtain large-scale user personalities, textbased personality recognition tasks have been designed to infer user personalities from given usergenerated texts [31]. With the rapid development of pre-trained Large Language Models (LLMs), more and more LLM-based models have been proposed for text-based personality detection tasks with significant performance improvements [32].…”

Section: Assessing Personality and Emotionsmentioning

confidence: 99%

The investigation of progress and application related to chatbot in psychology

2024

ACE

View full text Add to dashboard Cite

The discipline of psychology plays a pivotal role in contributing to the development of scientific knowledge and the advancement of society, as well as being a prominent area of scientific research globally. In recent years, an increasingly number of artificial intelligence technologies have been combined with psychology technologies, aiming to facilitate in promoting the development of peoples mental health through artificial intelligence technology. Numerous chatbot technologies have emerged over the years, and these chatbots have excellent comprehensive capabilities and have been widely used in the field of psychology. However, there is little literature reviewing the application of chatbots in the field of psychology, and this review aims to summarize the technologies of chatbots and their application in psychology in this last several years, in order to help subsequent scholars understand the relevant research results in this field more quickly. This study summarizes some of the chatbot approaches in recent years and divides them into four parts, which are 1) ChatGPT 2) Chatbot 3) Accessing personality and emotions 4) Mental health support, and this study also further describes the advances, shortcomings, and future perspectives of the research in this field. and future perspectives in this field, hoping to be helpful to subsequent scholars.

show abstract

“…The gray wolf algorithm is one of the powerful optimization algorithms based on collective intelligence. But the performance of collective intelligence algorithms decreases when faced with complex cost functions [14]. Therefore, to cover this weakness, the developed gray wolf algorithm is introduced in this section.…”

Section: B Improved Gray Wolf Algorithmmentioning

confidence: 99%

Enhancing COVID-19 Diagnosis Through a Hybrid CNN and Gray Wolf Optimizer Framework

Yin¹,

Zhang²,

Li³

2023

IJACSA

View full text Add to dashboard Cite

Covid-19 is an infectious respiratory disorder brought about using a brand-new coronavirus first found in 2019. The severity of symptoms can vary from mild to lifethreatening. No vaccine or specific treatment has been developed to address Covid-19. Hence the most effective preventive measure is to practice social distancing and adhere to good hygiene practices. Medical imaging and convolutional neural networks are used in Covid-19 research to quickly identify infected individuals and detect changes in the lung tissue of those infected. Convolutional neural networks can be used to analyze chest CT scans, detecting potential signs of infection like ground-glass opacities, which indicate the presence of Covid-19. This article introduces a powerful framework for classifying COVID-19 images utilizing a hybrid of CNN and an improved version of Gray Wolf Optimizer. To demonstrate the efficiency of the projected framework, it is verified on a standard dataset and compared with other methods, with results indicating its superiority over the others.

show abstract

A novel personality detection method based on high-dimensional psycholinguistic features and improved distributed Gray Wolf Optimizer for feature selection

Cited by 19 publications

References 42 publications

PersoNet: A Novel Framework for Personality Classification-Based Apt Customer Service Agent Selection

PersoNet: A Novel Framework for Personality Classification-Based Apt Customer Service Agent Selection

The investigation of progress and application related to chatbot in psychology

Enhancing COVID-19 Diagnosis Through a Hybrid CNN and Gray Wolf Optimizer Framework

Contact Info

Product

Resources

About