Paper: Build Chinese Emotion Lexicons Using A Graph-based Algorithm and Multiple Resources

ACL ID C10-1136
Title Build Chinese Emotion Lexicons Using A Graph-based Algorithm and Multiple Resources
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2010
Authors

For sentiment analysis, lexicons play an important role in many related tasks. In this paper, aiming to build Chinese emo- tion lexicons for public use, we adopted a graph-based algorithm which ranks words according to a few seed emotion words. The ranking algorithm exploits the simi- larity between words, and uses multiple similarity metrics which can be derived from dictionaries, unlabeled corpora or heuristic rules. To evaluate the adopted algorithm and resources, two independent judges were asked to label the top words of ranking list. It is observed that noise is almost un- avoidable due to imprecise similarity met- rics between words. So, to guarantee the quality of emotion lexicons, we use an iterative feedback to combine man- ual labeling and the automatic ranking al- gorithm above...