Effectiveness of Data Augmentation and Ensembling Using Transformer-Based Models for Sentiment Analysis: Software Engineering Perspective

Zubair Rahman Tusar, Sadat Bin Sharfuddin, Muhtasim Abid, Md. Nazmul Haque, Md. Jubair Ibna Mostafa. Effectiveness of Data Augmentation and Ensembling Using Transformer-Based Models for Sentiment Analysis: Software Engineering Perspective. In Hans-Georg Fill, Francisco José Domínguez-Mayo, Marten van Sinderen, Leszek A. Maciaszek, editors, Proceedings of the 18th International Conference on Software Technologies, ICSOFT 2023, Rome, Italy, July 10-12, 2023. pages 438-447, SCITEPRESS, 2023. [doi]

@inproceedings{TusarSAHM23,
  title = {Effectiveness of Data Augmentation and Ensembling Using Transformer-Based Models for Sentiment Analysis: Software Engineering Perspective},
  author = {Zubair Rahman Tusar and Sadat Bin Sharfuddin and Muhtasim Abid and Md. Nazmul Haque and Md. Jubair Ibna Mostafa},
  year = {2023},
  doi = {10.5220/0012092500003538},
  url = {https://doi.org/10.5220/0012092500003538},
  researchr = {https://researchr.org/publication/TusarSAHM23},
  cites = {0},
  citedby = {0},
  pages = {438-447},
  booktitle = {Proceedings of the 18th International Conference on Software Technologies, ICSOFT 2023, Rome, Italy, July 10-12, 2023},
  editor = {Hans-Georg Fill and Francisco José Domínguez-Mayo and Marten van Sinderen and Leszek A. Maciaszek},
  publisher = {SCITEPRESS},
  isbn = {978-989-758-665-1},
}