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Extracting opinion targets and opinion words from online reviews are two fundamental tasks in opinion mining. This paper proposes a novel approach to collectively extract them with graph coranking. First, compared to previous methods which solely employed opinion relations among words, our method constructs a heterogeneous graph to model two types of relations, including semantic relations and opinion relations. Next, a co-ranking algorithm is proposed to estimate the confidence of eachdoi:10.3115/v1/p14-1030 dblp:conf/acl/LiuXZ14 fatcat:sr5vsghb3nbbxh5gxltpx7ww44