Ontology based Opinion Mining with Crowdsourcing Approach for Myanmar Travel Domain

Abstract

Tourism Industry is a dynamic and competitivebusiness sector that requires updating informationcontinuously to meet customers’ satisfaction.In addition, the industry plays a vital role for the economicgrowth of the country which demands thecomprehensive local travel information. Therefore,construction of Myanmar travel domain is importantas it is enrich with ancient heritage and known formany natural tourist destinations. This paper proposesa crowd sourced method of creating an ontologywhich supports useful information retrieval togetherwith review opinions by applying opinion miningapproach. The main contribution of this paper is designingan ontology based on locations by accessingvaluable information and opinions. In addition, weintroduce opinion mining approach for analyzingusers’ opinions which can be used for refining ontology.Finally, we propose and implement the ontologybased opinion mining with crowdsourcing approachwhile constructing the Myanmar travel domain