An Efficient Long Chinese Text Sentiment Analysis Method Using BERT-Based Models with BiGRU

Deming Sheng, Jingling Yuan. An Efficient Long Chinese Text Sentiment Analysis Method Using BERT-Based Models with BiGRU. In Weiming Shen 0001, Jean-Paul A. Barthès, Junzhou Luo, Yanjun Shi, Jinghui Zhang, editors, 24th IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021, Dalian, China, May 5-7, 2021. pages 192-197, IEEE, 2021. [doi]

@inproceedings{ShengY21-0,
  title = {An Efficient Long Chinese Text Sentiment Analysis Method Using BERT-Based Models with BiGRU},
  author = {Deming Sheng and Jingling Yuan},
  year = {2021},
  doi = {10.1109/CSCWD49262.2021.9437789},
  url = {https://doi.org/10.1109/CSCWD49262.2021.9437789},
  researchr = {https://researchr.org/publication/ShengY21-0},
  cites = {0},
  citedby = {0},
  pages = {192-197},
  booktitle = {24th IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021, Dalian, China, May 5-7, 2021},
  editor = {Weiming Shen 0001 and Jean-Paul A. Barthès and Junzhou Luo and Yanjun Shi and Jinghui Zhang},
  publisher = {IEEE},
  isbn = {978-1-7281-6597-4},
}