In the current work, this particular insight is used to solve the data sparsity problem in the sentiment analysis by leveraging unlabelled monolingual corpora.
experiments are performed to investigate whether features developed from manually crafted clusterings (coming from WordNet) can be replaced by those generated from clustering based on syntagmatic properties.