We present CommentsMiner, an user-generated comments extractor. CommentsMiner combines frequent closed induced subtree mining and a learning-to-rank model. It mainly relies on textual and densitometric to mine and train its model. We show that CommentsMiner perfectly solves the comments extraction task with a 84% performance on a representative and publicy available dataset – another technical contribution of this paper.