A Novel Interaction Convolutional Network Based on Dependency Trees for Aspect-Level Sentiment Analysis

Lei Mao, Jianxia Chen, Shi Dong 0001, Liang Xiao, Haoying Si, Shu Li, Xinyun Wu. A Novel Interaction Convolutional Network Based on Dependency Trees for Aspect-Level Sentiment Analysis. In Biao Luo, Long Cheng 0001, Zheng-Guang Wu, Hongyi Li 0001, Chaojie Li, editors, Neural Information Processing - 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part II. Volume 14448 of Lecture Notes in Computer Science, pages 388-400, Springer, 2023. [doi]

@inproceedings{MaoCDXSLW23,
  title = {A Novel Interaction Convolutional Network Based on Dependency Trees for Aspect-Level Sentiment Analysis},
  author = {Lei Mao and Jianxia Chen and Shi Dong 0001 and Liang Xiao and Haoying Si and Shu Li and Xinyun Wu},
  year = {2023},
  doi = {10.1007/978-981-99-8082-6_30},
  url = {https://doi.org/10.1007/978-981-99-8082-6_30},
  researchr = {https://researchr.org/publication/MaoCDXSLW23},
  cites = {0},
  citedby = {0},
  pages = {388-400},
  booktitle = {Neural Information Processing - 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part II},
  editor = {Biao Luo and Long Cheng 0001 and Zheng-Guang Wu and Hongyi Li 0001 and Chaojie Li},
  volume = {14448},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-981-99-8082-6},
}