Since its inception, papers have applied different methods such as feature based (Kiritchenko et al., 2014) , Recursive Neural Networks (RecNN) (Dong et al., 2014) , Recurrent Neural Networks (RNN) (Tang et al., 2016a) , attention applied to RNN (Wang et al., 2016; Chen et al., 2017; Tay et al., 2017) , Neural Pooling (NP)<cite> Wang et al., 2017)</cite> , RNN combined with NP (Zhang et al., 2016) , and attention based neural networks (Tang et al., 2016b) .