In this paper we propose to use fuzzy logic in detecting emotional content from text. Fuzzy logic was developed to deal with concepts that do not have well-defined, sharp boundaries, which theoretically is ideal for emotion as no well-defined boundaries are defined for emotion categories (e.g., happiness, sadness, surprise, fear, disgust, and anger).The transition from one physiological state of emotion to another is also gradual and could easily be modeled by fuzzy logic approach
Capturing the sentiments and the emotional states enclosed in textual information is a critical task...
Emotion is an important element in an interaction since it conveys Emotion is an important element i...
This paper provides an overview of the evolving field of emotion detection and identifies the curren...
A model of emotion representation in the form of facial expressions using text mining technique, fol...
Emotion recognition and analysis has been extensively researched in neuroscience, psychology, cognit...
A model of emotion representation in the form of facial expressions using text mining technique foll...
In the context of text classification of sentiment detection to great, instances are naturally fuzzy...
With the surge of the large volume of data availability, Machine Learning and mainly Deep Learning t...
Emotions have been subject of research and deliberation in philosophy and psychology mainstream for ...
Distilling sentiments and moods hidden in the written (natural) language is a challenging issue whic...
Monitoring users’ emotive states and using that information for providing feedback and scaffolding i...
International audienceIn this article, we propose a methodology to automatically construct fuzzy rul...
This survey describes recent works in the field of Emotion Detection from text, being a part of the ...
AbstractThe history of the development of emotion psychology, especially the two theories concerning...
People express emotions as part of everyday communication. Emotions can be judged by a combination o...
Capturing the sentiments and the emotional states enclosed in textual information is a critical task...
Emotion is an important element in an interaction since it conveys Emotion is an important element i...
This paper provides an overview of the evolving field of emotion detection and identifies the curren...
A model of emotion representation in the form of facial expressions using text mining technique, fol...
Emotion recognition and analysis has been extensively researched in neuroscience, psychology, cognit...
A model of emotion representation in the form of facial expressions using text mining technique foll...
In the context of text classification of sentiment detection to great, instances are naturally fuzzy...
With the surge of the large volume of data availability, Machine Learning and mainly Deep Learning t...
Emotions have been subject of research and deliberation in philosophy and psychology mainstream for ...
Distilling sentiments and moods hidden in the written (natural) language is a challenging issue whic...
Monitoring users’ emotive states and using that information for providing feedback and scaffolding i...
International audienceIn this article, we propose a methodology to automatically construct fuzzy rul...
This survey describes recent works in the field of Emotion Detection from text, being a part of the ...
AbstractThe history of the development of emotion psychology, especially the two theories concerning...
People express emotions as part of everyday communication. Emotions can be judged by a combination o...
Capturing the sentiments and the emotional states enclosed in textual information is a critical task...
Emotion is an important element in an interaction since it conveys Emotion is an important element i...
This paper provides an overview of the evolving field of emotion detection and identifies the curren...