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Ontology based Opinion Mining with Crowdsourcing Approach for Myanmar Travel Domain

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dc.contributor.author Aye, Nilar
dc.contributor.author Naing, Thinn Thu
dc.date.accessioned 2019-07-04T06:06:07Z
dc.date.available 2019-07-04T06:06:07Z
dc.date.issued 2018-02-22
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/454
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher Sixteenth International Conferences on Computer Applications(ICCA 2018) en_US
dc.subject Domain Ontology en_US
dc.subject Crowdsourcing en_US
dc.subject Opinion Mining en_US
dc.title Ontology based Opinion Mining with Crowdsourcing Approach for Myanmar Travel Domain en_US
dc.type Article en_US

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