Text Mining by Social Network Data towards Developing Attractiveness of Urban Park. Case Study: Thematic Parks in Bandung City, Indonesia

Abstract

The existence of a thematic green open space in Bandung is one of the pioneers in the urban landscape of Indonesian cities. In addition, the thematic park in Bandung is also one of the efforts to realize the concept of a green city besides its function as a medium of channelling citizens’ aspirations. Furthermore, the thematic park concept is to make a difference between one park and other parks and to define its own uniqueness. As public spaces, such as parks, can also be functioned as a place to express an opinion, visitor’s opinion plays an important role. Recently, the online reviews data particularly has been considered as an important factor to influence consumers’ decision and are valued as assets based on valued information. In this research, we used the online reviews method from google maps to collect all information from reviewers about the thematic parks and to analyse the attractiveness of the thematic parks in Bandung City. Our approach is to evaluate visitor’s perceptions by identifying sentences from opinions or reviews regarding the fulfilment of thematic park functions based on its user or visitor, facilities, community activities, and atmosphere of the park. Social network data towards developing urban park attractiveness. The result shows the dominant factor attractiveness of thematic parks is the user or community factor. Moreover, user-oriented thematic park concept generates a special attraction for visitors to visit thematic parks.