This paper addresses the problem of opinion summarization by considering the creation of simple opinion summaries like those of figure 1.
stRip's performance is better than the baselines when trained on MPQA src (improvement not statistically significant, p > 0.20) and even better when trained on the full MPQA corpus, which includes the unlabeled NPs (improvement over the baselines and the former stRip run statistically significant).