Latent Class Analysis (LCA) Based Approach for Finding Best Hotels

  • Vijay Singh
  • Bhasker Pant
  • D. P. Singh
  • Santosh KumarEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 810)


Researchers shows a huge interest in Latent Class Analysis (LCA) in various domains over the last two decades. We proposed a new Latent Class Data Analysis using Statistical modeling approach to categorize better and worst Hotel to Stay. The main objective of this study was to find the unobserved classes in the Trap Advisor dataset. The results allow to identify new entry of the Hotel and detects whether it lies in Good Hotel category or in worst Hotel category. For evaluation and demonstration purpose freely, available Trip Advisor dataset is used.


Latent Class Analysis (LCA) Statistical modeling Trip advisor 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Vijay Singh
    • 1
  • Bhasker Pant
    • 1
  • D. P. Singh
    • 1
  • Santosh Kumar
    • 1
    Email author
  1. 1.Graphic Era (Deemed to be University)DehradunIndia

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