Feature Selection Using Sampling with Replacement, Covering Arrays and Rule-Induction Techniques to Aid Polarity Detection in Twitter Sentiment Analysis

Jorge Villegas, Carlos Cobos, Martha Mendoza, Enrique Herrera-Viedma. Feature Selection Using Sampling with Replacement, Covering Arrays and Rule-Induction Techniques to Aid Polarity Detection in Twitter Sentiment Analysis. In Guillermo Ricardo Simari, Eduardo Fermé, Flabio Gutiérrez Segura, José Antonio Rodríguez Melquiades, editors, Advances in Artificial Intelligence - IBERAMIA 2018 - 16th Ibero-American Conference on AI, Trujillo, Peru, November 13-16, 2018, Proceedings. Volume 11238 of Lecture Notes in Computer Science, pages 467-480, Springer, 2018. [doi]

@inproceedings{VillegasCMH18,
  title = {Feature Selection Using Sampling with Replacement, Covering Arrays and Rule-Induction Techniques to Aid Polarity Detection in Twitter Sentiment Analysis},
  author = {Jorge Villegas and Carlos Cobos and Martha Mendoza and Enrique Herrera-Viedma},
  year = {2018},
  doi = {10.1007/978-3-030-03928-8_38},
  url = {https://doi.org/10.1007/978-3-030-03928-8_38},
  researchr = {https://researchr.org/publication/VillegasCMH18},
  cites = {0},
  citedby = {0},
  pages = {467-480},
  booktitle = {Advances in Artificial Intelligence - IBERAMIA 2018 - 16th Ibero-American Conference on AI, Trujillo, Peru, November 13-16, 2018, Proceedings},
  editor = {Guillermo Ricardo Simari and Eduardo Fermé and Flabio Gutiérrez Segura and José Antonio Rodríguez Melquiades},
  volume = {11238},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-03928-8},
}