Graph Ranking for Sentiment Transfer

With the aim to deal with sentiment-transfer problem, we proposed a novel approach, which integrates the sentiment orientations of documents into the graph-ranking algorithm. We apply the graph-ranking algorithm using the accurate labels of old-domain documents as well as the "pseudo" labels of new-domain documents. Experimental results show that proposed algorithm could improve the performance of baseline methods dramatically for sentiment transfer.

• Type: Journal
• Year: 2009
• Where: ACL
• Authors: Qiong Wu, Songbo Tan, Xueqi Cheng
• Keywords: ACL 2009, Computational Linguistics, Documents, Graph-ranking Algorithm, Sentiment Orientations