A Comprehensive Analysis of Twitter Data: A Case Study of Tourism in Indonesia

This paper extensively analyzes Twitter data based on a study of tourism in Indonesia. Some keywords “candi borobudur”,”danau toba”, “gunung bromo”,”pantai kuta”, and “raja ampat” are applied. Some techniques are applied in order to analyze obtained data. Based on word cloud technique, those tourism destination keywords contain top 10 popular word such as “bali”,”Indonesia”, “banget”,”jazz”, “gue”,”papua barat”, “liburan”,”sih”, “daerah”,”orang”. Besides, machine learning approaches are also applied to these Twitter data, and the result shows that some noisy or ambiguous words affect the accuracy of the machine learning model.