Semantic analysis of public health medical issues based on convolution neural networks

HIGHLIGHTS

• who: Yulong Xu et al. from the School of Information Technology, Henan University of Chinese Medicine, Zhengzhou, China have published the article: Semantic Analysis of Public Health Medical Issues Based on Convolution Neural Networks, in the Journal: Mobile Information Systems of 30/08/2022
• what: Label 2 than label2 and more than label3-6, resulting in the phenomenon that label2 has the best classification effect, label1 is weak, and label3-6 is very poor.
• how: As shown in Figure 2 the first 20 dimensions of data are shown. The training set data are . . .
  

   

  

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