Multi-class Text Classification Model Based on Weighted Word Vector and BiLSTM-Attention Optimization

Hao Wu, Zhuangzhuang He, Weitao Zhang, Yunsheng Hu, Yunzhi Wu, Yi Yue. Multi-class Text Classification Model Based on Weighted Word Vector and BiLSTM-Attention Optimization. In De-Shuang Huang, Kang-Hyun Jo, JianQiang Li, Valeriya V. Gribova, Vitoantonio Bevilacqua, editors, Intelligent Computing Theories and Application - 17th International Conference, ICIC 2021, Shenzhen, China, August 12-15, 2021, Proceedings, Part I. Volume 12836 of Lecture Notes in Computer Science, pages 393-400, Springer, 2021. [doi]

@inproceedings{WuHZHWY21,
  title = {Multi-class Text Classification Model Based on Weighted Word Vector and BiLSTM-Attention Optimization},
  author = {Hao Wu and Zhuangzhuang He and Weitao Zhang and Yunsheng Hu and Yunzhi Wu and Yi Yue},
  year = {2021},
  doi = {10.1007/978-3-030-84522-3_32},
  url = {https://doi.org/10.1007/978-3-030-84522-3_32},
  researchr = {https://researchr.org/publication/WuHZHWY21},
  cites = {0},
  citedby = {0},
  pages = {393-400},
  booktitle = {Intelligent Computing Theories and Application - 17th International Conference, ICIC 2021, Shenzhen, China, August 12-15, 2021, Proceedings, Part I},
  editor = {De-Shuang Huang and Kang-Hyun Jo and JianQiang Li and Valeriya V. Gribova and Vitoantonio Bevilacqua},
  volume = {12836},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-84522-3},
}