An Aspect Level Sentiment Analysis Method for Graph Convolutional Networks based on Improved Dependencies

Donglin Ma, QingQing Chen 0005, Feng-Lin Cao, BoChang He. An Aspect Level Sentiment Analysis Method for Graph Convolutional Networks based on Improved Dependencies. In Weiming Shen 0001, Jean-Paul A. Barthès, Junzhou Luo, Adriana S. Vivacqua, Daniel Schneider 0008, Cheng Xie, Jinghui Zhang, Haibin Zhu, Kunkun Peng, Claudia Lage Rebello da Motta, editors, 26th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2023, Rio de Janeiro, Brazil, May 24-26, 2023. pages 978-983, IEEE, 2023. [doi]

@inproceedings{Ma0CH23,
  title = {An Aspect Level Sentiment Analysis Method for Graph Convolutional Networks based on Improved Dependencies},
  author = {Donglin Ma and QingQing Chen 0005 and Feng-Lin Cao and BoChang He},
  year = {2023},
  doi = {10.1109/CSCWD57460.2023.10151995},
  url = {https://doi.org/10.1109/CSCWD57460.2023.10151995},
  researchr = {https://researchr.org/publication/Ma0CH23},
  cites = {0},
  citedby = {0},
  pages = {978-983},
  booktitle = {26th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2023, Rio de Janeiro, Brazil, May 24-26, 2023},
  editor = {Weiming Shen 0001 and Jean-Paul A. Barthès and Junzhou Luo and Adriana S. Vivacqua and Daniel Schneider 0008 and Cheng Xie and Jinghui Zhang and Haibin Zhu and Kunkun Peng and Claudia Lage Rebello da Motta},
  publisher = {IEEE},
  isbn = {979-8-3503-3168-4},
}