Indonesian tourism is one of the biggest contributors to the country's foreign income. In 2015 foreign income from the tourism sector was 12.23 billion and it is projected that in 2020 will contribute foreign income of 20 billion. Technological advances have fundamentally changed how information is produced and used for many things including in the tourism sector. Tourism Industry relies on feedback from its customers. In the tourism industry, customer experience is important for the development and reputation of the industry. New approaches to measure the level of customer satisfaction and perceptions of tourists through sentiment analysis are needed. In this study the problem that will be of concern is how to utilize sentiment analysis to determine the perceptions of tourists regarding 3A (attractions, amenities and accessibility) in tourism destinations, using the NLP (Natural Language Processing) text mining method to develop strategies for developing tourist destinations and increasing the number of tourists especially in Bali.