research-article

Vietnamese Sentiment Analysis for Hotel Review based on Overfitting Training and Ensemble Learning

Authors:

Thuy Nguyen-Thanh,

Giang T.C. TranAuthors Info & Claims

SoICT '19: Proceedings of the 10th International Symposium on Information and Communication Technology

Pages 147 - 153

https://doi.org/10.1145/3368926.3369675

Published: 04 December 2019 Publication History

Abstract

In this study, we propose a machine learning model in analyzing customer opinions based on Vietnamese text: the case of hotel service, classifying a review as a positive or a negative. In particular, our solution focuses on improvement: preprocessing, standardization, training data relabelling with Error Analysis method. Besides, training data is enhanced with emotional dictionary; 5-Fold Cross Validation and Confusion Matrix are used to control overfitting and underfitting and to test the model; Hyperparameter Tuning method is used to optimize model parameters; Ensemble Methods are used to combine several machine learning techniques into the most efficient predictive model. Used data is collected from website booking.com.

References

[1]

Ali Hasan, S. M. (n.d.) (2018). "Machine Learning-Based Sentiment Analysis for Twitter Accounts".

[2]

Alia Karim Abdul Hassan, A. B. (2017). Reviews Sentiment analysis for collaborative recommender system.

[3]

Anh - Nguyê Thi Lan (2013), "Nghiên cúu thuât toán hoc máy svm và úng dung trong bài toán khai phá y kiě ph´n hôi cúa khách hàng trên website", Luân vărn Thac sĩ, Hoc viě Công nghê Buu chính Viě thông.

[4]

Chang, C.L. (2011). "SVM: "A Library for Support Vector Machine".

[5]

Pang, B., Lee, L. and Vaithyanathan, S. (2012), "Thumbs up: Sentiment Classification Using Machine Learning Techniques.", Proceedings of the ACL-02 conference on Empirical methods in natural language processing 10, pp. 79--86.

[6]

Phu X. V. Nguyen, Tham T. T. Hong, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen (2018). "Deep Learning versus Traditional Classifiers on Vietnamese Students' Feedback Corpus". 2018 5th NAFOSTED Conference on Information and Computer Science (NICS);

[7]

Severyn, A. and Moschitti, A. (2015), "Twitter Sentiment Analysis with Deep Convolutional Neural Networks.", Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 959--962.

Digital Library

[8]

Thành, N.T. (2013). "Sentiment classification for vietnamese user reviews and its application to a sentiment analysis system". Luân vărn Thac sĩ, &Dstrok;ai hoc Công nghê, &Dstrok;ai hoc Quoc gia Hà Nôi.

[9]

Tang, D., Qin, B. and Liu, T. (2015), "Deep Learning for Sentiment Analysis: Successful Approaches and Future Challenges.", Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 5(6), pp. 292--303.

Digital Library

[10]

Tsytsarau, M. and Palpanas, T. (2012), "Survey on Mining Subjective Data on the Web.", Data Mining and Knowledge Discovery, 24(3), pp. 478--514.

Digital Library

[11]

Thin-Dang Van, Kiet-Van Nguyen, Ngan Luu-Thuy Nguyen (2018). "A Supervised Method For Aspect Based Sentiment Analysis". VLSP - 2018;

[12]

Thien Khai Tran, Tuoi Thi Phan (2019). "Deep Learning Application to Ensemble Learning - The Simple, but Effective, Approach to Sentiment Classifying". Applied Sciences - 2019;

[13]

Tran Sy BANG, Virach SORNLERTLAMVANICH (2018). "Sentiment Classification for Hotel Booking Review Based on Sentence Dependency Structure and Sub-Opinion Analysis". IEICE TRANS. INF. & SYST., VOL.E101--D, NO.4 APRIL 2018.

[14]

Quynh-Trang Thi Pham, Xuan-Truong Nguyen, Van-Hien Tran, Thi-Cham Nguyen, Mai-Vu Tran (2016). "Vietnamese Sentiment Analysis for Product Reviews". VLSP - 2016;

[15]

Vikram Elango, G. N. (2018), "Sentiment Analysis for Hotel Reviews". CS 229 Machine Learning, Final Projects, Autumn 2014.

Cited By

Van Thin DHao DNguyen N(2023)Vietnamese Sentiment Analysis: An Overview and Comparative Study of Fine-tuning Pretrained Language ModelsACM Transactions on Asian and Low-Resource Language Information Processing10.1145/358913122:6(1-27)Online publication date: 4-Apr-2023
https://dl.acm.org/doi/10.1145/3589131
Thin DHao DNguyen N(2023)A Study of Vietnamese Sentiment Classification with Ensemble Pre-Trained Language ModelsVietnam Journal of Computer Science10.1142/S219688882350017311:01(137-165)Online publication date: 7-Dec-2023
https://doi.org/10.1142/S2196888823500173
Paradisiaca Darnoto BSiahaan DPurwitasari D(2023)A Comprehensive Ensemble Deep Learning Method for Identifying Native Advertising in News Articles2023 IEEE 8th International Conference On Software Engineering and Computer Systems (ICSECS)10.1109/ICSECS58457.2023.10256392(164-169)Online publication date: 25-Aug-2023
https://doi.org/10.1109/ICSECS58457.2023.10256392
Show More Cited By

Index Terms

Vietnamese Sentiment Analysis for Hotel Review based on Overfitting Training and Ensemble Learning
1. Computing methodologies
2. Information systems

Recommendations

An Ensemble Classification System for Twitter Sentiment Analysis
Abstract
Twitter Sentiment Analysis is the way of identifying sentiments and opinions in tweets. The main computational steps in this process are determining the polarity or sentiment of the tweet and then categorizing them into the positive tweet or ...
A Vietnamese adjective emotion dictionary based on exploitation of Vietnamese language characteristics

Emotion classification is used in many commercial applications and research applications. The semantic classification models (or sentiment classification methods) are based on the vocabulary of the emotion dictionary being studied and being used very ...
Semisupervised sentiment analysis method for online text reviews

Sentiment analysis plays an important role in understanding individual opinions expressed in websites such as social media and product review sites. The common approaches to sentiment analysis use the sentiments carried by words that express opinions and ...

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences

SoICT '19: Proceedings of the 10th International Symposium on Information and Communication Technology

December 2019

551 pages

ISBN:9781450372459

DOI:10.1145/3368926

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

In-Cooperation

SOICT: School of Information and Communication Technology - HUST
NAFOSTED: The National Foundation for Science and Technology Development

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 December 2019

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

SoICT 2019

SoICT 2019: The Tenth International Symposium on Information and Communication Technology

December 4 - 6, 2019

Ha Long Bay, Hanoi, Viet Nam

Acceptance Rates

Overall Acceptance Rate 147 of 318 submissions, 46%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

9
Total Citations
View Citations
150
Total Downloads

Downloads (Last 12 months)17
Downloads (Last 6 weeks)2

Reflects downloads up to 30 Aug 2024

Other Metrics

View Author Metrics

Citations

Cited By

Van Thin DHao DNguyen N(2023)Vietnamese Sentiment Analysis: An Overview and Comparative Study of Fine-tuning Pretrained Language ModelsACM Transactions on Asian and Low-Resource Language Information Processing10.1145/358913122:6(1-27)Online publication date: 4-Apr-2023
https://dl.acm.org/doi/10.1145/3589131
Thin DHao DNguyen N(2023)A Study of Vietnamese Sentiment Classification with Ensemble Pre-Trained Language ModelsVietnam Journal of Computer Science10.1142/S219688882350017311:01(137-165)Online publication date: 7-Dec-2023
https://doi.org/10.1142/S2196888823500173
Paradisiaca Darnoto BSiahaan DPurwitasari D(2023)A Comprehensive Ensemble Deep Learning Method for Identifying Native Advertising in News Articles2023 IEEE 8th International Conference On Software Engineering and Computer Systems (ICSECS)10.1109/ICSECS58457.2023.10256392(164-169)Online publication date: 25-Aug-2023
https://doi.org/10.1109/ICSECS58457.2023.10256392
Huong TTran-Trung KLai DHoang V(2022)Sentiment Analysis based on word vector representation for short comments in Vietnamese language2022 9th NAFOSTED Conference on Information and Computer Science (NICS)10.1109/NICS56915.2022.10013426(165-169)Online publication date: 31-Oct-2022
https://doi.org/10.1109/NICS56915.2022.10013426
Álvarez-Carmona MAranda RRodríguez-Gonzalez AFajardo-Delgado DSánchez MPérez-Espinosa HMartínez-Miranda JGuerrero-Rodríguez RBustio-Martínez LDíaz-Pacheco Á(2022)Natural language processing applied to tourism research: A systematic review and future research directionsJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2022.10.01034:10(10125-10144)Online publication date: Nov-2022
https://doi.org/10.1016/j.jksuci.2022.10.010
Loc CViet TViet TThao LViet N(2022)A Text Classification for Vietnamese Feedback via PhoBERT-Based Deep LearningProceedings of Seventh International Congress on Information and Communication Technology10.1007/978-981-19-2394-4_24(259-272)Online publication date: 12-Jul-2022
https://doi.org/10.1007/978-981-19-2394-4_24
Ippolito P(2022)Hyperparameter TuningApplied Data Science in Tourism10.1007/978-3-030-88389-8_12(231-251)Online publication date: 31-Jan-2022
https://doi.org/10.1007/978-3-030-88389-8_12
Le NHuh J(2021)Applying Sentiment Product Reviews and Visualization for BI Systems in Vietnamese E-Commerce Website: Focusing on Vietnamese ContextElectronics10.3390/electronics1020248110:20(2481)Online publication date: 12-Oct-2021
https://doi.org/10.3390/electronics10202481
Nguyen CLe KNguyen B(2021)A Novel Approach for Enhancing Vietnamese Sentiment ClassificationAdvances and Trends in Artificial Intelligence. From Theory to Practice10.1007/978-3-030-79463-7_9(99-111)Online publication date: 26-Jul-2021
https://dl.acm.org/doi/10.1007/978-3-030-79463-7_9

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents