Characterizing the 2022- Russo-Ukrainian Conflict Through the Lenses of Aspect-Based Sentiment Analysis: Dataset, Methodology, and Key Findings

Maurantonio Caprolu, Alireza Sadighian, Roberto Di Pietro. Characterizing the 2022- Russo-Ukrainian Conflict Through the Lenses of Aspect-Based Sentiment Analysis: Dataset, Methodology, and Key Findings. In 32nd International Conference on Computer Communications and Networks, ICCCN 2023, Honolulu, HI, USA, July 24-27, 2023. pages 1-10, IEEE, 2023. [doi]

@inproceedings{CaproluSP23,
  title = {Characterizing the 2022- Russo-Ukrainian Conflict Through the Lenses of Aspect-Based Sentiment Analysis: Dataset, Methodology, and Key Findings},
  author = {Maurantonio Caprolu and Alireza Sadighian and Roberto Di Pietro},
  year = {2023},
  doi = {10.1109/ICCCN58024.2023.10230192},
  url = {https://doi.org/10.1109/ICCCN58024.2023.10230192},
  researchr = {https://researchr.org/publication/CaproluSP23},
  cites = {0},
  citedby = {0},
  pages = {1-10},
  booktitle = {32nd International Conference on Computer Communications and Networks, ICCCN 2023, Honolulu, HI, USA, July 24-27, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-3618-4},
}