User Generated Big Data Analysis of Customer Ratings of Beaches in Andaman and Nicobar Islands of India

Abstract

In this study, we analyse user-generated content of beach tourist attractions across Andaman and Nicobar Islands in India to find the factors that influence tourist experience in terms of customer satisfaction in island beach destinations. The study is conducted to identify the specific attributes of beach tourism that has positive and negative influence over the high rating provided on online review portals. The study is conducted over the reviews obtained from online reviews over Trip Advisor. Text analytics and logistic regression is used to find the various attributing factors that affect the customer satisfaction in the form of rating. The online data is collected and the unique words are identified with respect to the frequency of occurrence of the unique words in the reviews and taken for analysis. The results indicate that there is more influence of factors such as cleanliness of the beach, the accommodation facilities available and the various beach activities in inducing better satisfaction among the tourists than the scenic beauty of the place. The study has policy implications as the tourism development activities undertaken by the government of Andaman & Nicobar Islands must focus on the positive influencing factors and focus should be given on the factors such as better restaurant facilities, crowd management and shopping facilities in order to enhance the tourist experience at Andaman & Nicobar Islands.