News text clasification based in its content as supervised and unsupervised Clustering LDA

Abstract : The intention of this work is to identify the classification of news by predicting membership group using a previously supervised classification model trained using Recurrent Networks like LSTM and GRU and compare the results obtained with the application of an LDA clustering model.