Browsing by Author "Nishanthan, M."

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Android Application using Review Mining: Ceylon Tour Guide
(Department of Statistics & Computer Science, University of Kelaniya, Sri Lanka, 2016) Nishanthan, M.; Kavitha, S.; Mosharani, S.; Amuthapriya, S.; Vithana, V.N.
In the 21st century, Sri Lanka is one of the most visited tourist countries in Asia. Though, the rate of tourists visiting Sri Lanka is rapidly increasing, most of these tourists do not have a clear idea of where to visit. Several web sites such as Agoda, Trip Advisor let tourists see comments and rate places. There are very few applications which assess these public reviews and provide a comprehensive rating specially tailored to Sri Lanka. Hence tourists end up spending a lot of time and effort in looking for locations of their interest. To overcome this problem, our system, Ceylon Tour Guide presents a Tour guide application that provides a comprehensive rating of tourist locations in Sri Lanka using text mining techniques. Public reviews from well-established tourist web sites such as Agoda are collected and stored in a database. The stored details are mined with the text mining algorithms. With the aid of algorithms, mined data will be categorized into positive, neutral and negative reviews. Using the Android application user can search and see the ratings of the important locations. After ending 30 years of civil war, the tourism sector has a vast development. This application will help popularize the important locations in Sri Lanka including north and thus, help increase the economic growth of the country.