in this paper we have proposed an approach for emotion detection in implicit texts. we have introduced a combinational system based on three subsystems. each one analyzes input data from a different aspect and produces an emotion label as output. the first subsystem is a machine learning method. the second one is a statistical approach based on vector space model (vsm) and the last one is a key...

Current research on emotion detection focuses on the recognizing explicit emotion expressions in text. In this paper, we propose an approach based on textual inference to detect implicit emotion expressions, that is, to capture emotion detection as an logical inference issue. The approach builds a natural logic system, in which emotional detection are decomposed into a series of logical inferen...

Most research in the area of emotion detection in written text focused on detecting explicit expressions of emotions in text. In this paper, we present a rule-based pipeline approach for detecting implicit emotions in written text without emotion-bearing words based on the OCC Model. We have evaluated our approach on three different datasets with five emotion categories. Our results show that t...

An emotion is a particular feeling that characterizes a state of mind, such as joy, anger, love, fear and so on. A great body of work exists in the field of emotion extraction. The work done in this area includes distinguishing subjective portions in text, finding sentiment orientation and, in few cases, determining fine-grained distinctions in sentiment, such as emotion and appraisal types. Wo...

Emotion cause detection is a new research area in emotion processing even though most theories of emotion treat recognition of a triggering cause event as an integral part of emotion. As a first step towards fully automatic inference of cause-emotion correlation, we propose a textdriven, rule-based approach to emotion cause detection in this paper. First of all, a Chinese emotion cause annotate...

Implicit emotion regulation defined as goal-driven processes modulates emotion experiences and responses automatically without awareness. However, the temporal course of implicit emotion regulation is not clear. To address these issues, we adopted a new Priming-identify task (PI task) to manipulate implicit emotion regulation directly and observed the changes of early (N170), middle (early post...

Although emotion regulation has traditionally been conceived as a deliberative process, there is growing evidence that many emotion-regulation processes operate at implicit levels. This special issue of Cognition and Emotion showcases recent advances in theorising and empirical research on implicit emotion regulation. Implicit emotion regulation can be broadly defined as any process that operat...

Demarcation in human interaction is through two channels: one transmits explicit messages; the other transmits implicit messages about the speakers themselves knowingly or unknowingly. Both linguistics and technology have invested enormous effort in trying to understand the first (explicit) channel, but the second (implicit) is not as well understood. First, building an emotion detection system...

We propose that social attitudes, and in particular implicit prejudice, bias people's perceptions of the facial emotion displayed by others. To test this hypothesis, we employed a facial emotion change-detection task in which European American participants detected the offset (Study 1) or onset (Study 2) of facial anger in both Black and White targets. Higher implicit (but not explicit) prejudi...