More than a decade has passed since research on automatic recognition of emotion from
speech has become a new field of research in line with its 'big brothers' speech and speaker …

In the context of affective human behavior analysis, we use the term continuous input to refer
to naturalistic settings where explicit or implicit input from the subject is continuously …

Emotion recognition in text is an important natural language processing (NLP) task whose
solution can benefit several applications in different fields, including data mining, e-learning …

Past research in analysis of human affect has focused on recognition of prototypic
expressions of six basic emotions based on posed data acquired in laboratory settings …

Recognition and analysis of human emotions have attracted a lot of interest in the past two
decades and have been researched extensively in neuroscience, psychology, cognitive …

Emotion primitive descriptions are an important alternative to classical emotion categories
for describing a human's affective expressions. We build a multi-dimensional emotion space …

In this article we give guidelines on how to address the major technical challenges of
automatic emotion recognition from speech in human-computer interfaces, which include …

Collective intelligence (CI), a group's capacity to perform a wide variety of tasks, is a key
factor in successful collaboration. Group composition, particularly diversity and member …

Conversational agents are exploding in popularity. However, much work remains in the area
of non goal-oriented conversations, despite significant growth in research interest over …

We introduce a ranking approach for emotion recognition which naturally incorporates
information about the general expressivity of speakers. We demonstrate that our approach …