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

Diana Mayangsari Ramadhani; Cahya Rahmad; Faisal Rahutomo

doi:10.1109/SIET.2017.8304106

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

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Diana Mayangsari Ramadhani, Cahya Rahmad, Faisal Rahutomo

2017 Proceedings - 2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017 Vol. 2018-January Conference paper Cited by 5

Abstract

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. © 2017 IEEE.

Affiliations

State Polytechnic of Malang, Electrical Engineering Department, Malang, Indonesia; State Polytechnic of Malang, Information Technology Department, Malang, Indonesia

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