SRNN is a recurrent neural network architecture that accelerates standard RNN by slicing sequences into subsequences processed in parallel. Implemented in Keras with TensorFlow backend, this research project demonstrates the SRNN(8,2) configuration on the Yelp sentiment analysis dataset. The work was published at COLING 2018 and also supports text generation tasks similar to language modeling.