Distinguishing Affective States in Weblog Posts

Computational Approaches to Analyzing Weblogs

Volume

Papers from the 2006 AAAI Spring Symposium

Contents

This short paper reports on initial experiments on the use of binary classifiers to distinguish affective states in weblog posts. Using a corpus of English weblog posts, annotated for mood by their authors, we trained support vector machine binary classifiers, and show that a typology of affective states proposed by Scherer's et al is a good starting point for more refined analysis.