Application of Cluster Analysis Technology in Visualization Research of Movie Review Data.

Journal: Computational intelligence and neuroscience
Published Date:

Abstract

In order to improve the reference value of film review data, this paper combines clustering analysis technology to construct a film review clustering visualization research system to improve the visualization effect of film reviews. Moreover, this paper analyzes online reviews based on the method of type-2 fuzzy sets and determines the interval of type-2 fuzzy sets of each factor set of commodity status in commercial stores by considering both the language and specific numbers of keywords in online review texts. In addition, this paper analyzes intelligent control through practical application and sets the expected target of the control object. Finally, according to the fuzzy rules and word calculation, this paper determines the interference or improvement measures that can be referenced to form a closed-loop control. The experimental research shows that cluster analysis technology can play a certain role in the visual analysis of film review data.

Authors

  • Bin Xu
    Department of Orthopaedics, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
  • Cheng Chen
    Key Laboratory of Precision and Intelligent Chemistry, School of Chemistry and Materials Science, University of Science and Technology of China, China.
  • Jong-Hoon Yang
    Department of Digital Image in Sangmyung University, Seoul 03015, Republic of Korea.