The society of mind
The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind
The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind
Emotions from text: machine learning for text-based emotion prediction
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Automatic prediction of frustration
International Journal of Human-Computer Studies
Learning to identify emotions in text
Proceedings of the 2008 ACM symposium on Applied computing
International Journal of Artificial Intelligence in Education
Which side are you on?: identifying perspectives at the document and sentence levels
CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning
Cohesion Relationships in Tutorial Dialogue as Predictors of Affective States
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Isanette: A Common and Common Sense Knowledge Base for Opinion Mining
ICDMW '11 Proceedings of the 2011 IEEE 11th International Conference on Data Mining Workshops
Expert Systems with Applications: An International Journal
Sentic Computing for social media marketing
Multimedia Tools and Applications
Sentic Computing: Techniques, Tools, and Applications
Sentic Computing: Techniques, Tools, and Applications
Sentic maxine: multimodal affective fusion and emotional paths
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
Towards IMACA: intelligent multimodal affective conversational agent
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I
Spanish knowledge base generation for polarity classification from masses
Proceedings of the 22nd international conference on World Wide Web companion
From blurry numbers to clear preferences: A mechanism to extract reputation in social networks
Expert Systems with Applications: An International Journal
A fuzzy-oriented sentic analysis to capture the human emotion in Web-based content
Knowledge-Based Systems
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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 design of applications in fields such as affective HCI, social data mining, and sentiment analysis. To this end, we propose a novel biologically-inspired and psychologically-motivated emotion categorisation model that goes beyond mere categorical and dimensional approaches. Such model represents affective states both through labels and through four independent but concomitant affective dimensions, which can potentially describe the full range of emotional experiences that are rooted in any of us.