/DataMining_AirplaneServiceAnalysis

Replicating the Study "Explaining customer ratings and recommendations by combining qualitative and quantitative user generated contents". Analysis of Textual and Numerical Reviews from Airplane Service Data, to find Core and augmented Service Aspects which influence Customer Review Behavior (RBV) and Customer Ratings (CR), Find emotions and sentiments which contribute to CR and RBV and see how those attributes differ in different service categories, e.g. low cost, full service Flights

Primary LanguageJupyter Notebook

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