Analyzing Twitter Data for Insights into Public Sentiment During COVID-19 Pandemic

Yang Liu 0218, Mohd Anwar. Analyzing Twitter Data for Insights into Public Sentiment During COVID-19 Pandemic. In Hamido Fujita, Héctor M. Pérez Meana, Andres Hernandez-Matamoros, editors, New Trends in Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 23rd International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques (SoMeT_24), Cancun, Mexico, September 24-26, 2024. Volume 389 of Frontiers in Artificial Intelligence and Applications, pages 412-425, IOS Press, 2024. [doi]

@inproceedings{0218A24,
  title = {Analyzing Twitter Data for Insights into Public Sentiment During COVID-19 Pandemic},
  author = {Yang Liu 0218 and Mohd Anwar},
  year = {2024},
  doi = {10.3233/FAIA240388},
  url = {https://doi.org/10.3233/FAIA240388},
  researchr = {https://researchr.org/publication/0218A24},
  cites = {0},
  citedby = {0},
  pages = {412-425},
  booktitle = {New Trends in Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 23rd International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques (SoMeT_24), Cancun, Mexico, September 24-26, 2024},
  editor = {Hamido Fujita and Héctor M. Pérez Meana and Andres Hernandez-Matamoros},
  volume = {389},
  series = {Frontiers in Artificial Intelligence and Applications},
  publisher = {IOS Press},
  isbn = {978-1-64368-539-7},
}