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Deep Learning Hyper-parameter Tuning for Sentiment Analysis in Twitter based on Evolutionary Algorithms
This work proposes the use of the evolutionary algorithm SHADE for the optimisation of the configuration of a deep learning model for the task of sentiment analysis in Twitter, and shows that the hyper-parameters found by the evolutionary algorithms enhance the performance of the deep learning method.