The latest advancements of deep learning have resulted in a new era of natural language
processing. The machines now possess an unparallel ability to interpret and engage with …

Personality computing has grown significantly in use, with useful applications emerging in
fields of study like human-robot interaction and recommendation systems. Traditional …

Personality prediction defines an individual's interior self and provides an overview of their
behavioral characteristics. Individuals can develop personally and professionally with its aid …

Empathetic dialogue systems improve user experience across various domains. Existing
approaches mainly focus on acquiring affective and cognitive knowledge from text, but …

Effective teamwork is essential to the success of organizations, necessitating that executives
implement efficient strategies for fostering collaboration. This paper proposes a novel …

Personality classification has garnered significant interest in psychology, computational
social science, and Machine Learning (ML) due to its wide-ranging applications. This paper …

This study aimed to assess the potential contributions of the Myers–Briggs Type Indicator
(MBTI) to the sustainable growth of communities by conducting a comprehensive analysis of …

Understanding human personality traits is crucial for various domains, including psychology,
education, and human resources. The Myers-Briggs Type Indicator (MBTI) is a widely …

Differentiated thyroid cancer is the most common type of thyroid cancer; the types in this
category are papillary, follicular, and hurthel cell carcinoma. Up to 20% of DTCs will …

Identifying personal interests is an important step in creating more personalized user
experiences for applications ranging from recommendation systems to digital artifact …