Abstract
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.
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Singh, V., Pant, B., Singh, D.P., Kumar, S. (2019). Latent Class Analysis (LCA) Based Approach for Finding Best Hotels. In: Iyer, B., Nalbalwar, S., Pathak, N. (eds) Computing, Communication and Signal Processing . Advances in Intelligent Systems and Computing, vol 810. Springer, Singapore. https://doi.org/10.1007/978-981-13-1513-8_22
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DOI: https://doi.org/10.1007/978-981-13-1513-8_22
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