Recently, deep convolutional neural networks for sentence modelling (Kalchbrenner et al., 2014;Kim, 2014) have shown promising results on several NLP tasks.
(Tang et al., 2014) showed that learning sentiment-specific word embeddings and using them as features can boost the accuracy of existing sentiment classifiers.