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Deep Learning Hyper-parameter Tuning for Sentiment Analysis in Twitter based on Evolutionary Algorithms
- Eugenio Martínez-Cámara, Nuria Rodríguez Barroso, A. R. Moya, José Alberto Fernández, Elena Romero, Francisco Herrera
- Computer ScienceFederated Conference on Computer Science and…
- 26 September 2019
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.