(2010) proposed to combine multiple language spaces altogether in an expanded feature space.
they combined the original English feature vector of an instance and its translated feature vectors in different target languages together into one feature vector, and then used the training instances expressed in this expanded feature space to train multilingual subjectivity classifiers.