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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zhang, N.L.: Hierarchical latent class models for cluster analysis. J. Mach. Learn. Res. 5(2004), 697–723 (2004)
Allison, K.R., Adlaf, E.M., Irving, H.M., Schoueri-Mychasiw, N., Rehm, J.: The search for healthy schools: a multilevel latent class analysis of schools and their students. Prev. Med. Rep. 4 (2016)
Kim, Y., Kang, M., Tacon, A.M., Morrow Jr., J.R.: Longitudinal trajectories of physical activity in women using Latent class growth analysis: the WIN study. J. Sports Health Sci. 17 (2016)
Cetintas, S., Si, L., Xin, Y.P., Tzur, R.: Probabilistic latent class models for predicting student performance. In: International Conference on Information and Knowledge Management, pp. 1513–1516 (2013)
Ahn, J., McCombs, J.S., Jung, C., Tim, J., McDonnell, D., Ascher-Svanum, H., Edgell, E.T., Shi, L.: Classifying patients by antipsychotic adherence patterns using latent class analysis: characteristics of nonadherent groups in the California Medicaid (Medi-Cal) program. In: International Society for Pharmacoeconomic and Outcomes Research (ISPOR), 1098-3015/08/48 (2008)
Tucker, C., Meekins, B., Biemer, P.: Latent Class Analysis of Measurement Error in the Consumer Expenditure Survey. Section on Survey Research Methods-JSM2011 (2011)
Dean, N., Raftery, A.E.: Latent class analysis variable selection. Ann. Inst. Stat. Math. 11–35 (2010)
DuBois, C., Smyth, P.: Modeling relational events via latent classes. In: 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2010)
Choi, J., Kang, W.: A dynamic examination of motives for using social media and social media usage among undergraduate students: a latent class analysis. Soc. Behav. Sci. 131(2014), 202–210 (2014)
Ploubidis, G.B., Abbott, R.A., Huppert, F.A., Kuh, D., Wadsworth, M.E.J., Croudace, T.J.: Improvements in social functioning reported by a birth cohort in mid-adult life: a person-centred analysis of GHQ-28 social dysfunction items using latent class analysis. Pers. Individ. Differ. 42(2007), 305–316 (2007)
Antoine, A.L.C., Molenaar, K.R.: Latent class analysis for highway design and construction project categorization. In: International Conference on Sustainable Design, Engineering and Construction, vol. 145, pp. 1314–1321 (2016)
McCutcheon, A.C.: Latent Class Analysis. Sage Publications, Beverly Hills (1987)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-981-13-1513-8_22
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-1512-1
Online ISBN: 978-981-13-1513-8
eBook Packages: EngineeringEngineering (R0)