Sentiment Analysis on Travel Destination in Indonesia

Abstract

Tourists usually do an online search of tourist destinations before determining their destinations. The Internet provides media to share information and experiences on tourism through electronic communication channels, such as social media, travel blogs and tourist review sites. The tourism sector has a strong influence from social media in the decision-making process and has big potential for promotions. However, it is difficult to filter the vast amount of information on the Internet. It takes a lot of time to be able to read all the reviews that are on the Internet, but reading only few reviews lead to biased evaluation. Therefore, we proposed an application that can perform sentiment analysis on travel destination reviews, especially in Indonesia. Keywords— Support Vector Machine (SVM), Travel Destination, Indonesia