The motivation for a universal classifier might not be obvious at first, as clearly the best performance is achieved by in-domain classification (Twitter may need tweet classifier, Facebook needs posts classifier, IMDB needs review classifier, and so on).
in this experiment we merged all sub-parts of the sentiment treebank (jun18, neg, polevaltest, rev, sklad) into one data set presented as TW.