Aspect Level Opinion Mining for Hotel Reviews in Myanmar Language

Abstract

As social networks and online sites are growing rapidly, people can express their opinions in the form of comments and reviews. To analyze such opinionated reviews, the proposed system presents a linguistic approach to opinion mining. This system analyzes hotel user reviews written in Myanmar language and performs the opinion mining tasks at the aspect level. Finally, the system classifies the aspects/features contained in the reviews as positive, negative or neutral. The important task of aspect level opinion mining is identifying the relations between aspects and opinion words in the reviews. This detection is a big challenge because of informal writing styles of reviews. Especially, it is a difficult task of aspect level opinion mining on Myanmar reviews due to the nature of Myanmar language. Therefore, the proposed system mainly focuses on extracting the relevant pairs of aspects and opinion words from the user reviews using the syntactic patterns and some linguistic rules.