A General Feature Extraction Framework of Pre-Trained Language Models for Aspect-Category Sentiment Analysis

Ke Liu, Pei Li, Jianyong Yu. A General Feature Extraction Framework of Pre-Trained Language Models for Aspect-Category Sentiment Analysis. In IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles, SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022, Haikou, China, December 15-18, 2022. pages 1924-1929, IEEE, 2022. [doi]

@inproceedings{LiuLY22-9,
  title = {A General Feature Extraction Framework of Pre-Trained Language Models for Aspect-Category Sentiment Analysis},
  author = {Ke Liu and Pei Li and Jianyong Yu},
  year = {2022},
  doi = {10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00278},
  url = {https://doi.org/10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00278},
  researchr = {https://researchr.org/publication/LiuLY22-9},
  cites = {0},
  citedby = {0},
  pages = {1924-1929},
  booktitle = {IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles, SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022, Haikou, China, December 15-18, 2022},
  publisher = {IEEE},
  isbn = {979-8-3503-4655-8},
}