We used four classification algorithms: 1) Logistic regression, which is conventionally used in sentiment classification. Other three algorithms which are relatively new and has shown great results on sentiment classification types of problems are: 2) Naïve Bayes with SVM (NBSVM), 3) Extreme Gradient Boosting (XGBoost) and 4) FastText algorithm with Bidirectional LSTM (FastText-BiLSTM). 
 Question: What state of the art models are used in the experiments?
2) Naïve Bayes with SVM (NBSVM) 3) Extreme Gradient Boosting (XGBoost) 4) FastText algorithm with Bidirectional LSTM (FastText-BiLSTM)