Deep Learning Hyper-parameter Tuning for Sentiment Analysis in Twitter based on Evolutionary Algorithms

Eugenio Martínez-Cámara, Nuria Rodríguez Barroso, Antonio R. Moya, José Alberto Fernández, Elena Romero, Francisco Herrera. Deep Learning Hyper-parameter Tuning for Sentiment Analysis in Twitter based on Evolutionary Algorithms. In Maria Ganzha, Leszek A. Maciaszek, Marcin Paprzycki, editors, Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019, Leipzig, Germany, September 1-4, 2019. pages 255-264, 2019. [doi]

@inproceedings{CamaraBMFRH19,
  title = {Deep Learning Hyper-parameter Tuning for Sentiment Analysis in Twitter based on Evolutionary Algorithms},
  author = {Eugenio Martínez-Cámara and Nuria Rodríguez Barroso and Antonio R. Moya and José Alberto Fernández and Elena Romero and Francisco Herrera},
  year = {2019},
  doi = {10.15439/2019F183},
  url = {https://doi.org/10.15439/2019F183},
  researchr = {https://researchr.org/publication/CamaraBMFRH19},
  cites = {0},
  citedby = {0},
  pages = {255-264},
  booktitle = {Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019, Leipzig, Germany, September 1-4, 2019},
  editor = {Maria Ganzha and Leszek A. Maciaszek and Marcin Paprzycki},
  isbn = {978-83-955416-0-5},
}