A cognitive system for detecting emotions in literary texts and transposing them into drawings

Emotions are key factors in the cognitive and social development of human beings. Robot artists are emotional robots that express themselves using various forms of art. Their goal must be to evoke an aesthetic experience in the audience. Emotion recognition from text is an active field of research which produced several detection methods during the last years. This paper presents the development of a cognitive system that extracts the dominant emotion from a literary text and transposes it into a graphical form using a drawing robot. This comes in the general context of a project aiming at developing robot artists capable of expressing artistic emotions.