Previous research has shown that people differ in their implicit theories about the essential characteristics of intelligence and emotions. Some people believe these characteristics to be predetermined and immutable (entity theorists), whereas others believe that these characteristics can be changed through learning and behavior training (incremental theorists). The present study provides evide...

To identify the cause of emotion is a new challenge for researchers in nature language processing. Currently, there is no existing works on emotion cause detection from Chinese micro-blogging (Weibo) text. In this study, an emotion cause annotated corpus is firstly designed and developed through annotating the emotion cause expressions in Chinese Weibo Text. Up to now, an emotion cause annotate...

Previous studies on emotion classification mainly focus on the writer's emotional state. By contrast, this research emphasizes emotion detection from the readers' perspective. The classification of documents into reader-emotion categories can be applied in several ways, and one of the applications is to retain only the documents that trigger desired emotions to enable users to retrieve document...

Textual sentiment analysis and emotion detection consists in retrieving the sentiment or emotion carried by a text or document. This task can be useful in many domains: opinion mining, prediction, feedbacks, etc. However, building a general purpose tool for doing sentiment analysis and emotion detection raises a number of issues, theoretical issues like the dependence to the domain or to the la...

Emotions play a significant role in identifying attitude, state, condition or mode of a particular circumstance. Textual data, in particular, involves emotional state and affective communication beside its informative contents. Emotion extraction from text has been potentially studied to stimulate and elicit articulation features. In this study, a machine learning emotion detection model is pro...

Emotion is a complicated concept, and can be represented in different ways. In this paper, we discuss two kinds of emotion representations: the enumerative representation and the compositional representation. Compared to the enumerative representation, the compositional representation is the less rigid description of an emotion. However, from the perspective of emotion classification and detect...

The authors hypothesize that socially excluded individuals enter a defensive state of cognitive deconstruction that avoids meaningful thought, emotion, and self-awareness, and is characterized by lethargy and altered time flow. Social rejection led to an overestimation of time intervals, a focus on the present rather than the future, and a failure to delay gratification (Experiment 1). Rejected...

Objectives: There is growing evidence that many emotionregulation processes operate at implicit levels, and the ability to regulate emotions without the need for conscious effort is important for mental health. The glucocorticoid hormones (cortisol in humans) are crucial for stress responses and adaptation, and posttraumatic stress disorder (PTSD) has been associated with both cortisol dysregul...

Objectives: There is growing evidence that many emotionregulation processes operate at implicit levels, and the ability to regulate emotions without the need for conscious effort is important for mental health. The glucocorticoid hormones (cortisol in humans) are crucial for stress responses and adaptation, and posttraumatic stress disorder (PTSD) has been associated with both cortisol dysregul...

Face emotion imaging paradigms are widely used in both healthy and psychiatric populations. Here, in children and adolescents, we evaluate the test-retest reliability of blood oxygenation-level dependent (BOLD) activation and task-based functional connectivity on a widely used implicit face emotion processing task (i.e., gender labeling). Twenty-five healthy youth (M age = 13.97 years; 60% fema...