We simply assume that each opinionated sentence has one opinion target, which is consistent with Candidate Similarity: Prior labeling: for vV Filtering Matrix: for vV Probability: p inj and p cont Output: Label vector: for all vV do : end for 9: until convergence the statistical result of our dataset that over 93% sentences have only one opinion target and each sentence has an average of 1.09 targets.
the most confident candidate of each sentence will be selected as the opinion target.