A method for multi-class sentiment classification based on an improved one-vs-one (OVO) strategy and the support vector machine (SVM) algorithm

Yang Liu, Jian-Wu Bi, Zhi-Ping Fan. A method for multi-class sentiment classification based on an improved one-vs-one (OVO) strategy and the support vector machine (SVM) algorithm. Inf. Sci., 394:38-52, 2017. [doi]

@article{LiuBF17-0,
  title = {A method for multi-class sentiment classification based on an improved one-vs-one (OVO) strategy and the support vector machine (SVM) algorithm},
  author = {Yang Liu and Jian-Wu Bi and Zhi-Ping Fan},
  year = {2017},
  doi = {10.1016/j.ins.2017.02.016},
  url = {http://dx.doi.org/10.1016/j.ins.2017.02.016},
  researchr = {https://researchr.org/publication/LiuBF17-0},
  cites = {0},
  citedby = {0},
  journal = {Inf. Sci.},
  volume = {394},
  pages = {38-52},
}