Autofiction, Emotions, and Humour: A Playfully Serious Affective Mode

Analyzing Affective Constructs: Emotions, Attitudes and Motivation

We analyze the relationship between a variety of affective constructs that have been published, as it is not clear what the relationship between these is, which are redundant or the same, and which ones are different, when it comes to automatically predicting affect in tutoring systems. A deep analysis allows to understand how affect, motivation and emotions relate to each other, and how we cou...

Linking Humour to Blogs Analysis: Affective Traits in Posts⋆

The Web 2.0 technologies are gradually changing our intercommunication habits. Means such as forums, blogs, wikis, social networks, etc., are a clear sample about the importance of these tools for expressing and sharing contents, ideas, opinions and so on. From the Natural Language Processing perspective, these technologies are a rich mine for tasks such as Sentiment Analysis, Automatic Humour ...

How to Read Autofiction

Serious suicide attempts in affective patients.

A retrospective study was carried out including all patients who in the previous 6 years had required admission to our hospital for medical or surgical reasons following attempted suicide (n = 257). Those diagnosed as having affective disorder (n = 96), according to DSM-IIIR criteria, were compared with the other non-affective suicide attempters (n = 161). Affective patients were significantly ...

Mining Social Emotions from Affective Music

This paper is concerned with the problem of mining social emotions from music. The more and more development of music is assigned by social emotions like beat, jazz etc. Such emotions can provide us new aspect of music categorization and also help online users to select music based on sum features like melody, rhythm etc. in this paper we aim to discover the connections between emotions and aff...