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Tourism is one of the fastest growing sectors in the world and becomes one of the leading sectors in Indonesia. The Indonesia government has determined four super priority tourist destinations in order to achieve 20 million foreign tourists and 275 million domestic tourists in 2019. Moreover, a social network provides essential information that raises a new paradigm known as smart tourism. The geotag-social network can identify tourists- preferences, perceptions, and also attitudes from their posts on Instagram toward tourist destinations. Instagram becomes a popular media social to share photos equipped with information about geotags. It is important for the government and tourism management to understand tourists- preferences and interests to make a better strategy and policy. This study provides an alternative method to evaluate the super-priority tourist destinations using data mining shared on social media. This study identifies the pattern of tourist visits using time window strategy to separating between tourists and locals and tourists- interest related to their expressions of the tourist destinations using topic modeling which generally describes the scenery, favorite spots, and events. The result of this paper can be used as a consideration in determining favorite tourist destinations based on tourists- preferences on social media.