Assessment of Iterative Semi-Supervised Feature Selection Learning for Sentiment Analyses: Digital Currency Markets

Firat Akba, Ihsan Tolga Medeni, Mehmet Serdar Güzel, Iman N. Askerzade. Assessment of Iterative Semi-Supervised Feature Selection Learning for Sentiment Analyses: Digital Currency Markets. In IEEE 14th International Conference on Semantic Computing, ICSC 2020, San Diego, CA, USA, February 3-5, 2020. pages 459-463, IEEE, 2020. [doi]

@inproceedings{AkbaMGA20,
  title = {Assessment of Iterative Semi-Supervised Feature Selection Learning for Sentiment Analyses: Digital Currency Markets},
  author = {Firat Akba and Ihsan Tolga Medeni and Mehmet Serdar Güzel and Iman N. Askerzade},
  year = {2020},
  doi = {10.1109/ICSC.2020.00088},
  url = {https://doi.org/10.1109/ICSC.2020.00088},
  researchr = {https://researchr.org/publication/AkbaMGA20},
  cites = {0},
  citedby = {0},
  pages = {459-463},
  booktitle = {IEEE 14th International Conference on Semantic Computing, ICSC 2020, San Diego, CA, USA, February 3-5, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-6332-1},
}