Even if such clustering has inaccuracies, it could still be a useful starting point for human editors to select representative excerpts.
given a set of opinionated documents about a topic, we aim at automatically extracting and summarizing the multiple contrastive viewpoints implicitly expressed in the opinionated text to facilitate digestion and comparison of different viewpoints.