The Hourglass of Emotions

@inproceedings{Cambria2011TheHO,
  title={The Hourglass of Emotions},
  author={E. Cambria and Andrew G. Livingstone and Amir Hussain},
  booktitle={COST 2102 Training School},
  year={2011}
}
Human emotions and their modelling are increasingly understood to be a crucial aspect in the development of intelligent systems. Over the past years, in fact, the adoption of psychological models of emotions has become a common trend among researchers and engineers working in the sphere of affective computing. Because of the elusive nature of emotions and the ambiguity of natural language, however, psychologists have developed many different affect models, which often are not suitable for the… Expand
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References

SHOWING 1-10 OF 63 REFERENCES
Solving the Emotion Paradox: Categorization and the Experience of Emotion
  • L. F. Barrett
  • Psychology, Medicine
  • Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc
  • 2006
In this article, I introduce an emotion paradox: People believe that they know an emotion when they see it, and as a consequence assume that emotions are discrete events that can be recognized withExpand
The World of Emotions is not Two-Dimensional
TLDR
Adopting a theoretically based approach, it is shown for three languages that four dimensions are needed to satisfactorily represent similarities and differences in the meaning of emotion words. Expand
A CONSTRUCTIVIST VIEW OF EMOTION
ABSTRACT Traditionally, the emotions have been viewed from a biological perspective; that is, the emotions have been seen as genetically determined and relatively invariable responses. The presentExpand
Emotions from Text: Machine Learning for Text-based Emotion Prediction
TLDR
This paper explores the text-based emotion prediction problem empirically, using supervised machine learning with the SNoW learning architecture to classify the emotional affinity of sentences in the narrative domain of children's fairy tales, for subsequent usage in appropriate expressive rendering of text-to-speech synthesis. Expand
Feeler : Emotion Classification of Text Using Vector Space Model
Over the last quarter-century, there is increasing body of research on understanding the human emotions. In this study, automatic classification of anger, disgust, fear, joy and sad emotions in textExpand
Eight dimensions for the emotions
The author proposes a dimensional model of our emotion concepts that is intended to be largely independent of one’s theory of emotions and applicable to the different ways in which emotions areExpand
Core affect and the psychological construction of emotion.
  • J. Russell
  • Psychology, Medicine
  • Psychological review
  • 2003
TLDR
At the heart of emotion, mood, and any other emotionally charged event are states experienced as simply feeling good or bad, energized or enervated, which influence reflexes, perception, cognition, and behavior. Expand
SenticNet 2: A Semantic and Affective Resource for Opinion Mining and Sentiment Analysis
TLDR
By providing the semantics and sentics associated with over 14,000 concepts, SenticNet 2 represents one of the most comprehensive semantic resources for the development of affect-sensitive applications in fields such as social data mining, multimodal affective HCI, and social media marketing. Expand
The laws of emotion.
  • N. Frijda
  • Medicine, Psychology
  • The American psychologist
  • 1988
It is argued that emotions are lawful phe- nomena and thus can be described in terms of a set of laws of emotion. These laws result from the operation of emotion mechanisms that are accessible toExpand
"The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind," Marvin Minsky, Simon & Schuster, 2006(私のすすめるこの一冊,コーヒーブレイク)
In this mind-expanding book, scientific pioneer Marvin Minsky continues his groundbreaking research, offering a If I scarcely imagine that computers, will have held to use parts so often. Hed runExpand
...
1
2
3
4
5
...