Abstract
The travel and tour industry is one of the world’s largest service industries. It takes part as a vital role of state’s economy for the developing countries like Myanmar. Therefore, a travel information support system becomes essential that construction of Myanmar travel domain has been considered to be developed which is enriching with ancient heritage and known for many natural tourist destinations. Besides, it extracts travelers’ opinions with a purpose of promoting and improving all related services. We intend to implement the ontology-based opinion mining for Myanmar travel domain. The main contribution of this paper is collecting valuable travel information and tourists’ opinions of Myanmar by crowd sourcing method which has to be used for ranking based opinion mining to support travelers. This proposed method is important for travel industry in terms of services quality, promotion of the business and facilitate the industry that can be ranked based on the factors of determining many various opinions. Thus, opinion mining is affected not only the review comments created by visitors, but also the ranking of travel items given by every stake holder in the industry.
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Aye, N., Naing, T.T. (2020). Ranking Based Opinion Mining in Myanmar Travel Domain. In: Pan, JS., Lin, JW., Liang, Y., Chu, SC. (eds) Genetic and Evolutionary Computing. ICGEC 2019. Advances in Intelligent Systems and Computing, vol 1107. Springer, Singapore. https://doi.org/10.1007/978-981-15-3308-2_4
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DOI: https://doi.org/10.1007/978-981-15-3308-2_4
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