In a recent editorial (Halperin, 2016) Jeffrey Halperin calls for a firmer grasp of the executive function construct and its boundaries. His goal is to advance knowledge of the neurocognitive underpinnings of developmental psychopathology. In this commentary I propose that the development of the emotion regulation construct in relation to executive functioning is an ideal pursuit of this aim. P...

Automatically detecting emotions from text has countless applications, ranging large scale opinion mining to social robots in healthcare and education. However, are subjective nature often expressed ambiguous ways. At the same time, can also require implicit reasoning, which may not be available as surface- level, lexical information. In this work, we conjecture that overconfidence of pre-train...

Implicit sentiment analysis (ISA) can be distinguished from traditional text by the fact that it does not rely on emotional words as clues, and expression is usually vaguer. Identifying implicit emotions more difficult, requires a deeper understanding of context, even when are absent. Researchers have focused context feature modeling developing sophisticated extraction mechanisms instead starti...

This study tested the effects of emotion on implicit time judgment. The participants did not receive any overt temporal instructions. They were simply trained to respond as quickly as possible after a response signal, which was separated from a warning signal by a reference temporal interval. In the testing phase, the inter-signal interval was shorter, equal or longer than the reference interva...

The amygdala (AMG) has long been viewed as the gateway to sensory processing of emotions and is also known to play an important role at the interface between cognition and emotion. However, the debate continues on whether AMG activation is independent of attentional demands. Recently, researchers started exploring AMG functions using dynamic stimuli rather than the traditional pictures of facia...

An emotion detection algorithm using frontal facial image is presented in this paper. The algorithm is composed of three main stages: image processing stage and facial feature extraction stage, and emotion detection stage. In image processing stage, the face region and facial component is extracted by using fuzzy color filter, virtual face model, and histogram analysis method. The features for ...

Results: Results indicate that Emotion Coaching improved the pupil’s ability to regulate their feelings and had a positive effect upon teacherpupil relationships. Family-school relationships were supported by the school’s use of and modeling of Emotion Coaching with families and the ethos of attunement and non-judgemental interactions implicit in Emotion Coaching. Emotion Coaching promoted an i...

This paper describes EmoTweet-28, a carefully curated corpus of 15,553 tweets annotated with 28 emotion categories for the purpose of training and evaluating machine learning models for emotion classification. EmoTweet-28 is, to date, the largest tweet corpus annotated with fine-grained emotion categories. The corpus contains annotations for four facets of emotion: valence, arousal, emotion cat...