Deep Neural Network Comparison for Spanish Tweets Polarity Classification

Abstract

Two deep neural network models were compared in the task of polarity classification in Spanish text retrieved from social networks. For each model accuracy, precision, recall and F1 was calculated over a particular corpus. Also, the effect of adding gaussian noise on the inputs over the classifier results was evaluated.