Nevertheless, the parallel texts in multiple languages can be approximately taken as label-conditionally independent multiple views of the same set of data objects, and their simple feature space expanding method is still far from fully exploiting this multilingual information.
in this work we investigate new multi-view AdaBoost approaches to improve the performance of multilingual subjectivity analysis.