Paper: Graph Ranking for Sentiment Transfer

ACL ID P09-2080
Title Graph Ranking for Sentiment Transfer
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2009
Authors

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 per- formance of baseline methods dramatically for sentiment transfer.