Designed and implemented a deep neural networks text classifier model (the model of a standard
RNN layer with bidirectional LSTM followed by a max-pooling layer using GloVe approach for word
embedding) for the rating prediction problem (Natural Language Processing problem) to predict the
number of stars given by a user based on their comments on the latest release of the Yelp datasets