Opinion mining from online reviews in Bali tourist area

Puteri Prameswari, Isti Surjandari Prajitno, Enrico Laoh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)

Abstract

Bali Island is the most popular tourist destination in Indonesia. Bali needs to make continuous quality improvements of its tourism industry by devoting particular attention to the hotel as an integral part of tourism. Through hotel user reviews, hotel managers gained insight about the hotel condition that was perceived by the users. based on online reviews in Tripadvisor.com, this study used text mining approach and aspect-based sentiment analysis to obtain hotel user opinion in the form of sentiment. Aspect-based sentiment analysis is able to provide information that is not provided by the typical sentiment analysis. To perform these tasks, this study tries to apply the Recursive Neural Tensor Network (RNTN) algorithm, which was commonly used for classifying sentiment in sentence level. With the average accuracy of 85%, the proposed algorithm performed well in classifying the sentiment of words or aspects. Moreover, the output can be used for evaluation in improving the quality of the hospitality industry as well as supporting the tourism industry in Indonesia.

Original languageEnglish
Title of host publicationProceeding - 2017 3rd International Conference on Science in Information Technology
Subtitle of host publicationTheory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017
EditorsRafal Drezewski, Goutam Chakraborty, Shah Nazir, Lala Septem Riza, Ummi Raba'ah Hashim, Aji Prasetyo Wibawa, Yaya Wihardi, Andri Pranolo, Enjun Junaeti, Shi-Jinn Horng, Heui Seok Lim, Leonel Hernandez
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages226-230
Number of pages5
ISBN (Electronic)9781509058662
DOIs
Publication statusPublished - 12 Jan 2018
Event3rd International Conference on Science in Information Technology, ICSITech 2017 - Bandung, Indonesia
Duration: 25 Oct 201726 Oct 2017

Publication series

NameProceeding - 2017 3rd International Conference on Science in Information Technology: Theory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017
Volume2018-January

Conference

Conference3rd International Conference on Science in Information Technology, ICSITech 2017
Country/TerritoryIndonesia
CityBandung
Period25/10/1726/10/17

Keywords

  • aspect-based sentiment analysis
  • hospitality industry
  • opinion mining
  • RNTN
  • text mining

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