A Research on User Transfer Behavior of Health Information Based on LDA Model Factor Extraction

  • Zhang Tairui ,
  • Chen Yu
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  • School of Management and Economics, Kunming University of Science and Technology, Kunming 650093

Received date: 2019-01-09

  Revised date: 2019-04-11

  Online published: 2019-11-05

Abstract

[Purpose/significance] The development of mobile health information services can create huge potential value for the medical industry, but the attitude of users is vague, which stems from many influencing factors in the process of transfer. Text mining of user health information behavior research results can effectively reveal the main potential influencing factors, and then it summarizes the impact of these factors on the transfer behavior.[Method/process] Using LDA model for text analysis, combined with social identity theory, the relative perceived value and relative loyalty as the key influencing factors, the transfer cost as the moderating factor, the research model of the influencing factors of user transfer behavior is constructed and empirically analyzed.[Result/conclusion] The results show that the LDA model analysis results can obtain more specific feature words, and the effective influence factors can be extracted by analyzing the feature words. At the same time, these factors have a high degree of fit with the actual theory. The proposed structural equation model has a good interpretation effect on user transfer behavior.

Cite this article

Zhang Tairui , Chen Yu . A Research on User Transfer Behavior of Health Information Based on LDA Model Factor Extraction[J]. Library and Information Service, 2019 , 63(21) : 66 -77 . DOI: 10.13266/j.issn.0252-3116.2019.21.007

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