An emotion lexicon is an indispensable resource for emotion analysis. This paper aims to mine the relationships between words and emotions using weblog corpora. A collocation model is proposed to learn emotion lexicons from weblog articles. Emotion classification at sentence level is experimented by using the mined lexicons to demonstrate their usefulness. Mishne (2005), and Yang and Chen (2006) used emoticons as tags to train SVM (Cortes and Vapnik, 1995) classifiers at document or sentence level. .
