Research of Archive Classification Based on Naive Bayesian Algorithm

  • Tao Xu, Yugang Dai* , Yutai Luo

Abstract

This work analyzes the data resources of archives by combining with the characteristics of the
resources, integrating with Naive Bayesian classification method to implement the application
of archives resource classification. According to the characteristics of the file data, select the
attribute that matches the text of the file text, and use the TFIDF algorithm in the file text
feature attribute selection. The experimental results show that the classification model is
suitable for the classification of archival text resources, and the function of automatic
classification of archives is realized. Compared with the traditional Naive Bayesian
classification method, the classification model proposed in this paper is 1%-2% for the
classification efficiency of archives, it is a more effective classification model for the archives.

Published
2020-06-30
How to Cite
Tao Xu, Yugang Dai* , Yutai Luo. (2020). Research of Archive Classification Based on Naive Bayesian Algorithm. Design Engineering, 544 - 551. https://doi.org/10.17762/de.vi.552
Section
Articles