A cognitively based approach to affect sensing from text

Studying the relationship between natural language and affective information as well as assessing the underpinned affective qualities of natural language are becoming crucial for improving the human computer interaction. Different approaches have already been employed to “sense” affective knowledge from text but none of those considered the cognitive structure of individual emotions and appraisal structure of those emotions adopted by emotion sensing programs. It has also been observed that previous attempts for textual affect sensing have categorized texts into a number of emotion groups, e.g. six so-called “basic” emotion proposed by Paul Ekman which we believe insufficient to classify textual emotions. Hence we propose a different approach to sense affective information from texts by applying the cognitive theory of emotions known as OCC model [1] which distinguishes several emotion types that can be identified by assessing the valanced reactions to events, agents or object...

• Type: Conference
• Year: 2006
• Where: IUI
• Authors: Shaikh Mostafa Al Masum, Helmut Prendinger, Mitsuru Ishizuka
• Keywords: Affective, Affective Information, IUI 2006, Natural Language, Software Engineering