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"Emotion"
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What This Pixar Film Gets Wrong About Boys
Films like “Inside Out” raise questions about how we portray boys’ emotional lives. “It just felt like every time that a male character appeared onscreen in that movie, they were an emotional idiot,” Ruth Whippman says on “The Opinions.”
Streaming Video
Sentimental History
This essay is a brief recounting of the author's book, Cari Gara Gara .
Journal Article
Doing Emotions History
How do emotions change over time? When is hate honorable? What happens when love is translated into different languages? Such questions are now being addressed by historians who trace how emotions have been expressed and understood in different cultures throughout history. Doing Emotions History explores the history of feelings such as love, joy, grief, nostalgia as well as a wide range of others, bringing together the latest and most innovative scholarship on the history of the emotions. Spanning the globe from Asia and Europe to North America, the book provides a crucial overview of this emerging discipline. An international group of scholars reviews the field's current status and variations, addresses many of its central debates, provides models and methods, and proposes an array of possibilities for future research. Emphasizing the field's intersections with anthropology, psychology, sociology, neuroscience, data-mining, and popular culture, this groundbreaking volume demonstrates the affecting potential of doing emotions history.
eBook
A survey of state-of-the-art approaches for emotion recognition in text
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, information filtering systems, human–computer interaction, and psychology. Explicit emotion recognition in text is the most addressed problem in the literature. The solution to this problem is mainly based on identifying keywords. Implicit emotion recognition is the most challenging problem to solve because such emotion is typically hidden within the text, and thus, its solution requires an understanding of the context. There are four main approaches for implicit emotion recognition in text: rule-based approaches, classical learning-based approaches, deep learning approaches, and hybrid approaches. In this paper, we critically survey the state-of-the-art research for explicit and implicit emotion recognition in text. We present the different approaches found in the literature, detail their main features, discuss their advantages and limitations, and compare them within tables. This study shows that hybrid approaches and learning-based approaches that utilize traditional text representation with distributed word representation outperform the other approaches on benchmark corpora. This paper also identifies the sets of features that lead to the best-performing approaches; highlights the impacts of simple NLP tasks, such as part-of-speech tagging and parsing, on the performances of these approaches; and indicates some open problems.
Journal Article
Emotion-Regulation Choice
Despite centuries of speculation about how to manage negative emotions, little is actually known about which emotion-regulation strategies people choose to use when confronted with negative situations of varying intensity. On the basis of a new process conception of emotion regulation, we hypothesized that in low-intensity negative situations, people would show a relative preference to choose to regulate emotions by engagement reappraisal, which allows emotional processing. However, we expected people in high-intensity negative situations to show a relative preference to choose to regulate emotions by disengagement distraction, which blocks emotional processing at an early stage before it gathers force. In three experiments, we created emotional contexts that varied in intensity, using either emotional pictures (Experiments 1 and 2) or unpredictable electric stimulation (Experiment 3). In response to these emotional contexts, participants chose between using either reappraisal or distraction as an emotion-regulation strategy. Results in all experiments supported our hypothesis. This pattern in the choice of emotion-regulation strategies has important implications for the understanding of healthy adaptation.
Journal Article