Purpose This paper reviews 105 Scopus-indexed articles to identify the degree, scope and
purposes of machine learning (ML) adoption in the core functions of human resource …

Personality detection based on user-generated text content analysis has a significant impact
on information science, for instance, information seeking. Existing deep learning-based …

Social enterprises have become a nascent concept in academia and have grabbed the
attention of research scholars. They are deemed as an important predictor of economic …

In recent years, people have preferred interacting on social media instead of physical
meetings. Researchers have explored social media text data to predict user personality …

As social media use has grown over the past decade, both academics and practitioners
have increasingly debated the appropriateness of using data from social networking sites in …

There is a need to obtain more information about target audiences in many areas such as
law enforcement agencies, institutions, human resources, and advertising agencies. In this …

In this paper, a deep long short term memory (DeepLSTM) network to classify personality
traits using the electroencephalogram (EEG) signals is implemented. For this research, the …

Personality is an important parameter as it differentiates various individuals from one
another. Personality prediction is an evergreen area of research. Predicting personality with …

Bu araştırmanın amacı karanlık üçlü kişilik özellikleri ile dürtüsellik ve heyecan arama
davranışları arasındaki ilişkilerin incelenmesidir. Araştırma 332 (198 kadın, 134 erkek) …

Abstract Machine learning has gained tremendous attention from researchers recently. It has
wide applications in tasks such as prediction and classification. Current work focuses on the …