OPINION MINING FOR HOTEL RATING THROUGH REVIEWS USING DECISION TREE CLASSIFICATION METHOD
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Abstract
Websites like TripAdvisor has become an intricate part of our lives. It gives us various reviews about the hotels and helps us to decide which hotels to stay in or visit. Customer reviews play a major role in influencing others. Hence, these reviews become very important in controlling the quality of the hotel. The goal of this research is to collect all such reviews from the web and generate rating based on it with the help of a data mining classification method that is decision tree. The C4.5 decision tree method is applied for the above purpose using Tanagra Machine learning tool to generate the data model. The advantage of using Decision tree algorithm is that the rule set can be easily generated and by analyzing each level of the tree we can improve a particular service quality.
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