Sentiment Analysis to determine Accommodation, Shopping and Culinary Location on Foursquare in Kupang City

by Paulina Aliandu


Date Published: 01 Nov 2015
Published In: Information Systems International Conference (ISICO)
Volume: 2015
Publisher: Departemen Sistem Informasi, Institut Teknologi Sepuluh Nopember
Language: id-ID

Keywords: sentiment analysis; nave bayes; foursquare;

Abstract

The goal of this research is to determine the sentiment of accommodation, shopping and culinary location using Naive Bayes method. Research's object are the tips of accommodation, shopping and culinary location located in Kupang City, East Nusa Tenggara, Indonesia. Tips is a term on Foursquare, that written by user and it is a short messages about a location which let other users know what is good (or bad) there. Tips are taken from Foursquare. We used Naive Bayes in order to generate probability classifier model. This model used to determine sentiment of the Foursquare's tips about accommodation, shopping and culinary location. Test set accuracy is 66,22%. The result showed that Swiss Belinn Hotel, Aston Hotel are the best choices based on the tips following with On The Rock Hotel also T-More Hotel and Lounge. KFC Flobamora Mall, Palapa Resto and Café, Dapur Nekamese are the best choices for culinary. The result showed that Flobamora Mall is the best shopping place.


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