Sentiment analysis
We have introduced and continue to develop a collection of sentiment analysis techniques to model and discover sentiment information in social media data. We have enhanced previous content-based sentiment analysis techniques with rich graph-based technologies. As an example, we model opinion summarization problem as a leader and community detection problem in network science by modeling corpus as sentence graph. We also exploit the duality between sentiment clustering and tripartite graph clustering.