Aspect-Based Sentiment Analysis on Natural Tourism in West Bandung Using Multinomial Logistic Regression Algorithm

DOI

10.2991/978-94-6463-366-5_11How to use a DOI?

Keywords

Natural Tourism; West Bandung Regency; Aspect-Based Sentiment Analysis; Multinomial Logistic Regression; Google Maps Reviews

Abstract

Now is the moment for the tourism market to recover after being hit by the Covid disaster. This recovery is accompanied by improvements in various aspects related to the tourism sector by the government, including the Tourism and Culture Office of West Java Province. Given the immense potential of the tourism sector in West Java, there is a need for better utilization to restore the tourism sector, especially the natural tourist attractions in West Bandung Regency. To determine the aspects that need development, it is essential to listen to public opinions. This research aims to analyze aspect-based sentiment on the natural tourist attractions in West Bandung Regency based on reviews on Google Maps. The research process is based on the Knowledge Discovery in Database (KDD) data mining and utilizes the Multinomial Logistic Regression algorithm. Conducting this research enables the prediction of public reviews regarding natural tourist attractions from various aspects and sentiments. The aspects considered in this research include accessibility, facilities, and activities. The results of this research focus on the impact of pre-processing techniques and oversampling methods on the F-1 score performance of the model. The research shows that the stemming pre-processing technique (SM) and emoji processing (EP) yield the best performance in the Multinomial Logistic Regression algorithm. Additionally, the ROS method for oversampling significantly improves the model’s performance.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Tammara Audina Putri
AU  - Faqih Hamami
AU  - Ekky Novriza Alam
PY  - 2024
DA  - 2024/02/02
TI  - Aspect-Based Sentiment Analysis on Natural Tourism in West Bandung Using Multinomial Logistic Regression Algorithm
BT  - Proceedings of the 2023 1st International Conference on Advanced Informatics and Intelligent Information Systems (ICAI3S 2023)
PB  - Atlantis Press
SP  - 116
EP  - 127
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-366-5_11
DO  - 10.2991/978-94-6463-366-5_11
ID  - Putri2024
ER  -