A plausible reason for such a performance improvement is the reduction in data sparsity. However, such a reduction could be
achieved with a lesser effort through the means of syntagma based word clustering which addresses the problem of data sparsity
in sentiment analysis, both monolingual and cross-lingual.
In this talk, I will present the evolution of features in document level sentiment classification along with the brief introduction of
my current research work.