Open AccessMapping problem using text mining to boost tourism industry: is it possible?
Author(s) -
Masliana Tamrin,
L. Septianasari
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/778/1/012009
Subject(s) - tourism , set (abstract data type) , business , credential , sustainable tourism , computer science , the internet , geography , world wide web , computer security , archaeology , programming language
TripAdvisor has become a credential traveling platform for tourists worldwide to set travel plans. The widespread of big data in online platforms urges the use of text mining to benefit some sectors, including in the tourism industry. This study aimed to investigate the information extraction based on the online reviews on TripAdvisor for Gili Trawangan tourist destinations. The method used in this research was text mining with Support Vector Machine (SVM) to classify the online reviews that categorized into two classes, positive class and negative class. The results of information extraction show that the issue of horse cruelty, bad waste management, and ecosystem vulnerability dominated the negative sentiments. These negative sentiments need to be handled professionally by the tourism enterprise to boost the tourism industry in Gili Trawangan.