Improved performance of emotion extraction through banned words

Abstract

With the increased interests in annotation of multimedia contents in a bid to improve information retrieval performance, the importance of information on emotions in the contents is being highlighted. This research improves the previous emotion extraction method using WordNet. Since it required too much time for search emotional category and had wrong many results, we propose an advanced emotion extraction method added banned words. This improved method and the banned words will be described in this paper. Also, we will show the efficiency of our proposal through experiment.