Tourism destination rating system based on social media analysis (proposal and dataset development in Indonesian language)

It is very important for tourists to get information about their adventure destination. Many websites offer the needed information. One of them is tripadvisor.com which has destination rating feature. However, the rating score is inserted manually by filling out the scoring page that available on each tourism location. This paper proposes a new approach to obtain the tourism destination rating automatically by a new semantic analysis algorithm working in Indonesian language. For this purpose, this paper also collects datasets for the tourism destination automatic rating system based on social media analysis: adjectives of aspect destination, manual review of the tourist destination, blog contents regarding 30 tourism destination in Indonesia.