Application of capsule network in text classification problem

HIGHLIGHTS

• What: The aim of the algorithm is to enhance the model`s resilience to inaccurate labels and to boost the performance of MLTC. The original MLC dataset is trained based on the model to achieve the purpose of MLC. At present, the research on CapsNets for text classification tasks mainly focuses on improving the model of CapsNets, optimizing the routing mechanism of CapsNets, and introducing new technologies to help CapsNets better perform text classification tasks.
• Who: Problem, and Shengtao, Yang from the School of Cyber Security, Qilu University of Technology, Jinan, China have published the . . .
  

   

  

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