2023 Vol.6 Jun. N0.3

• Title: Research on the classification method of network Civic Education resources based on Bayesian algorithm
• Name: Yinyu Sun
• Company: School of Resources and Environmental Engineering，Anhui University ,Hefei,230000 China.
• Abstract:

  The current conventional teaching resource classification method mainly extracts teaching resource features through feasibility analysis method and constructs semantic model to realize automatic classification of teaching resources, which leads to poor classification accuracy due to the effective extension of resource feature words. In this regard, the classification method of network Civic Education resources based on Bayesian algorithm is proposed. Combined with Bayesian algorithm, the features of network Civic education resources are deeply weighted, the credibility index is introduced, the relevant feature words are expanded, and the classification model of education resources is constructed. In the experiment, the accuracy of the proposed method is verified for the classification of educational resources. The experimental results show that when the proposed method is used to classify teaching resources, the algorithm has a high recall rate and possesses a more desirable classification effect.

  
  

• Keyword: bayesian algorithm; Civic education resources; resource classification; recall.
• DOI: 10.12250/jpciams2023090510
• Citation form: Yinyu Sun.Research on the classification method of network Civic Education resources based on Bayesian algorithm [J]. Computer Informatization and Mechanical System,2023,Vol.6,pp.53-57

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