Abstract:

The level of arousal for an emotion word may vary in different contexts. However, this information is ignored in most emotion lexicons. We propose a weighting scheme of emotional words based on the level of arousal in various contexts. The level of arousal is evaluated by analyzing the cooccurrence patterns of emotion words as well as the distribution patterns of emotions. The weights of emotion words are calculated according to the level of arousal, and the results are used to weight emotion words in emotion analysis of microblogs. Experimental results on two data sets show that the proposed method outperforms current emotion lexicons. Moreover, the proposed approach can take advantages of multiple lexicons and further improve the accuracy of the system.

Key words: emotion intensity;emotion lexicon;corpus context;level of arousal;emotion weight