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Cluster Computing

, Volume 22, Supplement 3, pp 7031–7037 | Cite as

Contrastive analysis of English literature comparative literature based on Bayesian clustering approach to big data

  • Jiang LiEmail author
Article
  • 37 Downloads

Abstract

One comparative analysis method of English comparative literature based on big data Bayesian method has been proposed to improve the calculation accuracy of comparative analysis process of English comparative literature. Firstly, one multilayer Bayesian classification recognition algorithm mechanism has been proposed for the problem of low accuracy and poor calculation efficiency of Bayesian classification algorithm under the big data environment; Gabor multilayer feature extraction algorithm has been proposed for multilayer Bayesian algorithm, Gabor multilayer feature extraction Bayesian algorithm has been designed and realized. Secondly, the algorithm process of comparative analysis system of English comparative literature based on this improved algorithm has been designed and the success rate of comparative analysis of English comparative literature has been improved effectively based on the features of comparative analysis of English comparative literature. Finally, the effectiveness of algorithm has been verified through experimental simulation.

Keywords

Big data Bayesian English comparative literature Comparative literature 

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Foreign LanguagesSouthwest Petroleum UniversityChengduChina

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