Artificial Intelligence Based Analysis of Positive and Negative Tweets Towards COVID-19 Vaccines

Areeba Umair, Elio Masciari. Artificial Intelligence Based Analysis of Positive and Negative Tweets Towards COVID-19 Vaccines. In Yufei Huang, Lukasz A. Kurgan, Feng Luo, Xiaohua Hu, Yidong Chen, Edward R. Dougherty, Andrzej Kloczkowski, Yaohang Li, editors, IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021, Houston, TX, USA, December 9-12, 2021. pages 3171-3177, IEEE, 2021. [doi]

@inproceedings{UmairM21,
  title = {Artificial Intelligence Based Analysis of Positive and Negative Tweets Towards COVID-19 Vaccines},
  author = {Areeba Umair and Elio Masciari},
  year = {2021},
  doi = {10.1109/BIBM52615.2021.9669140},
  url = {https://doi.org/10.1109/BIBM52615.2021.9669140},
  researchr = {https://researchr.org/publication/UmairM21},
  cites = {0},
  citedby = {0},
  pages = {3171-3177},
  booktitle = {IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021, Houston, TX, USA, December 9-12, 2021},
  editor = {Yufei Huang and Lukasz A. Kurgan and Feng Luo and Xiaohua Hu and Yidong Chen and Edward R. Dougherty and Andrzej Kloczkowski and Yaohang Li},
  publisher = {IEEE},
  isbn = {978-1-6654-0126-5},
}