Customer Preference About Tourism using Opinion Based Mining/Sentiment Analysis

Abstract

The article can help researchers and practitioners who want to collect, gather and analyse social media data. Innovation and the Internet have significantly modified how travel is booked, the relationship between travellers and the travel industry, and how vacationers share their travel experiences. Because of this assortment of choices, mass the travel industry markets have been scattering. Be that as it may,the worldwide interest has not fallen; a remarkable opposite, because an increasing number of people use social media in their daily lives, social media data has been used in a variety of disciplines. To fill this void, we conducted an extensive and structured literature review in which we identified challenges addressed and solutions proposed. The literature survey revealed that Bluetooth, WIFI, and mobile roaming data were the three types of data that were least used for social media analytics. Other types of data, on the other hand, have received more attention. We discuss the most immediate concerns confronting the researchers and present potential solutions based on the results of the literature search. The findings are being used to build on an existing framework for social media analytics.