@inproceedings{4a6a09d898f94941b760b9b7adf51596,
title = "Opinion mining from online reviews in Bali tourist area",
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.",
keywords = "aspect-based sentiment analysis, hospitality industry, opinion mining, RNTN, text mining",
author = "Puteri Prameswari and Prajitno, {Isti Surjandari} and Enrico Laoh",
year = "2018",
month = jan,
day = "12",
doi = "10.1109/ICSITech.2017.8257115",
language = "English",
series = "Proceeding - 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",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "226--230",
editor = "Rafal Drezewski and Goutam Chakraborty and Shah Nazir and Riza, {Lala Septem} and Hashim, {Ummi Raba'ah} and Wibawa, {Aji Prasetyo} and Yaya Wihardi and Andri Pranolo and Enjun Junaeti and Shi-Jinn Horng and Lim, {Heui Seok} and Leonel Hernandez",
booktitle = "Proceeding - 2017 3rd International Conference on Science in Information Technology",
address = "United States",
note = "3rd International Conference on Science in Information Technology, ICSITech 2017 ; Conference date: 25-10-2017 Through 26-10-2017",
}