EMOCause: an easy-adaptable approach to emotion cause contexts

In this paper we present a method to automatically identify linguistic contexts which contain possible causes of emotions or emotional states from Italian newspaper articles (La Repubblica Corpus). Our methodology is based on the interplay between relevant linguistic patterns and an incremental repository of common sense knowledge on emotional states and emotion eliciting situations. Our approach has been evaluated with respect to manually annotated data. The results obtained so far are satisfying and support the validity of the methodology proposed.

EmotiBlog: a fine-grained model for emotion detection in non-traditional textual genres

This paper presents the first version of EmotiBlog, an annotation scheme for emotions in non-traditional textual genres such as blogs or forums. We collected a corpus composed by blog posts in three languages: English, Spanish and Italian and about three topics of interest. Subsequently, we annotated our collection and carried out the inter-annotator agreement and a ten-fold cross-validation evaluation, obtaining promising results. The main aim of this research is to provide a finer-grained annotation scheme and annotated data that are essential to perform evaluation focused on checking the quality of the created resources.

Emotion in Cervantes and Shakespeare

Early modern thought found in emotion a key to explaining human behaviour, highlighting the powerful way in which it can influence and disturb human life. Shakespeare’s and Cervantes’s treatment of emotion includes a full acknowledgement of its mental and bodily aspects and functions. But emotion rarely comes in a pure state. Character and emotion interact and their responses are often contradictory. Since emotions are sentiments that we feel and actions that we perform, it is worth inquiring into how, in Cervantes and Shakespeare, emotion affects their characters in different ways.