Emotion recognition in conversation: Research challenges, datasets, and recent advances
Emotion is intrinsic to humans and consequently, emotion understanding is a key part of
human-like artificial intelligence (AI). Emotion recognition in conversation (ERC) is …
human-like artificial intelligence (AI). Emotion recognition in conversation (ERC) is …
Positive emotions at work
Positive organizational scholarship has led to a growing interest in the critical role of positive
emotions for the lives of both workers and organizations. We review and integrate the …
emotions for the lives of both workers and organizations. We review and integrate the …
CTNet: Conversational transformer network for emotion recognition
Emotion recognition in conversation is a crucial topic for its widespread applications in the
field of human-computer interactions. Unlike vanilla emotion recognition of individual …
field of human-computer interactions. Unlike vanilla emotion recognition of individual …
Complex affect dynamics add limited information to the prediction of psychological well-being
Over the years, many studies have demonstrated a relation between emotion dynamics and
psychological well-being. Because our emotional life is inherently time-dynamic,,,–, affective …
psychological well-being. Because our emotional life is inherently time-dynamic,,,–, affective …
A review of approaches and models in psychopathology conceptualization research
Mental disorder classification provides a definitional framework that underlies applied
clinical and research efforts to understand, assess, predict, prevent and ameliorate the …
clinical and research efforts to understand, assess, predict, prevent and ameliorate the …
A primer on two-level dynamic structural equation models for intensive longitudinal data in Mplus.
Technological advances have led to an increase in intensive longitudinal data and the
statistical literature on modeling such data is rapidly expanding, as are software capabilities …
statistical literature on modeling such data is rapidly expanding, as are software capabilities …
Icon: Interactive conversational memory network for multimodal emotion detection
Emotion recognition in conversations is crucial for building empathetic machines. Present
works in this domain do not explicitly consider the inter-personal influences that thrive in the …
works in this domain do not explicitly consider the inter-personal influences that thrive in the …
AVEC 2019 workshop and challenge: state-of-mind, detecting depression with AI, and cross-cultural affect recognition
The Audio/Visual Emotion Challenge and Workshop (AVEC 2019)'State-of-Mind, Detecting
Depression with AI, and Cross-cultural Affect Recognition'is the ninth competition event …
Depression with AI, and Cross-cultural Affect Recognition'is the ninth competition event …
Mental disorders as networks of problems: a review of recent insights
Purpose The network perspective on psychopathology understands mental disorders as
complex networks of interacting symptoms. Despite its recent debut, with conceptual …
complex networks of interacting symptoms. Despite its recent debut, with conceptual …
Beneath the tip of the iceberg: Current challenges and new directions in sentiment analysis research
Sentiment analysis as a field has come a long way since it was first introduced as a task
nearly 20 years ago. It has widespread commercial applications in various domains like …
nearly 20 years ago. It has widespread commercial applications in various domains like …