Ontology based Opinion Mining with Crowdsourcing Approach for Myanmar Travel Domain

Abstract

Tourism Industry is a dynamic and competitive business sector that requires updating information continuously to meet customers’ satisfaction. In addition, the industry plays a vital role for the economic growth of the country which demands the comprehensive local travel information. Therefore, construction of Myanmar travel domain is important as it is enrich with ancient heritage and known for many natural tourist destinations. This paper proposes a crowd sourced method of creating an ontology which supports useful information retrieval together with review opinions by applying opinion mining approach. The main contribution of this paper is designing an ontology based on locations by accessing valuable information and opinions. In addition, we introduce opinion mining approach for analyzing users’ opinions which can be used for refining ontology. Finally, we propose and implement the ontology based opinion mining with crowdsourcing approach while constructing the Myanmar travel domain.