The four dimensions of social network analysis: An overview of research methods, applications, and software tools
Social network based applications have experienced exponential growth in recent years.
One of the reasons for this rise is that this application domain offers a particularly fertile …
One of the reasons for this rise is that this application domain offers a particularly fertile …
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future …
Schizophrenia (SZ) is a mental disorder that typically emerges in late adolescence or early
adulthood. It reduces the life expectancy of patients by 15 years. Abnormal behavior …
adulthood. It reduces the life expectancy of patients by 15 years. Abnormal behavior …
[HTML][HTML] Bidirectional convolutional recurrent neural network architecture with group-wise enhancement mechanism for text sentiment classification
A Onan - Journal of King Saud University-Computer and …, 2022 - Elsevier
Sentiment analysis has been a well-studied research direction in computational linguistics.
Deep neural network models, including convolutional neural networks (CNN) and recurrent …
Deep neural network models, including convolutional neural networks (CNN) and recurrent …
ABCDM: An attention-based bidirectional CNN-RNN deep model for sentiment analysis
Sentiment analysis has been a hot research topic in natural language processing and data
mining fields in the last decade. Recently, deep neural network (DNN) models are being …
mining fields in the last decade. Recently, deep neural network (DNN) models are being …
Mentalbert: Publicly available pretrained language models for mental healthcare
Mental health is a critical issue in modern society, and mental disorders could sometimes
turn to suicidal ideation without adequate treatment. Early detection of mental disorders and …
turn to suicidal ideation without adequate treatment. Early detection of mental disorders and …
A survey on empathetic dialogue systems
Dialogue systems have achieved growing success in many areas thanks to the rapid
advances of machine learning techniques. In the quest for generating more human-like …
advances of machine learning techniques. In the quest for generating more human-like …
A survey on personality-aware recommendation systems
With the emergence of personality computing as a new research field related to artificial
intelligence and personality psychology, we have witnessed an unprecedented proliferation …
intelligence and personality psychology, we have witnessed an unprecedented proliferation …
Levels of explainable artificial intelligence for human-aligned conversational explanations
Over the last few years there has been rapid research growth into eXplainable Artificial
Intelligence (XAI) and the closely aligned Interpretable Machine Learning (IML). Drivers for …
Intelligence (XAI) and the closely aligned Interpretable Machine Learning (IML). Drivers for …
A sentiment-aware deep learning approach for personality detection from text
Personality detection based on user-generated text content analysis has a significant impact
on information science, for instance, information seeking. Existing deep learning-based …
on information science, for instance, information seeking. Existing deep learning-based …
Bottom-up and top-down: Predicting personality with psycholinguistic and language model features
State-of-the-art personality prediction with text data mostly relies on bottom up, automated
feature generation as part of the deep learning process. More traditional models rely on …
feature generation as part of the deep learning process. More traditional models rely on …