On the Sensitivity of LSTMs to Hyperparameters and Word Embeddings in the Context of Sentiment Analysis

Bousselham El Haddaoui, Raddouane Chiheb, Rdouan Faizi, Abdellatif El Afia. On the Sensitivity of LSTMs to Hyperparameters and Word Embeddings in the Context of Sentiment Analysis. In Mohamed Lazaar, Claude Duvallet, Abdellah Touhafi, Mohammed Al Achhab, editors, BDIoT'21: Proceedings of the 5th International Conference on Big Data and Internet of Things, Rabat, Morocco, March 17-18, 2021. Volume 489 of Lecture Notes in Networks and Systems, pages 529-542, Springer, 2021. [doi]

@inproceedings{HaddaouiCFA21-0,
  title = {On the Sensitivity of LSTMs to Hyperparameters and Word Embeddings in the Context of Sentiment Analysis},
  author = {Bousselham El Haddaoui and Raddouane Chiheb and Rdouan Faizi and Abdellatif El Afia},
  year = {2021},
  doi = {10.1007/978-3-031-07969-6_40},
  url = {https://doi.org/10.1007/978-3-031-07969-6_40},
  researchr = {https://researchr.org/publication/HaddaouiCFA21-0},
  cites = {0},
  citedby = {0},
  pages = {529-542},
  booktitle = {BDIoT'21: Proceedings of the 5th International Conference on Big Data and Internet of Things, Rabat, Morocco, March 17-18, 2021},
  editor = {Mohamed Lazaar and Claude Duvallet and Abdellah Touhafi and Mohammed Al Achhab},
  volume = {489},
  series = {Lecture Notes in Networks and Systems},
  publisher = {Springer},
  isbn = {978-3-031-07969-6},
}