Sentiment Analysis on The Place of Interest in Malaysia

Authors

  • Qiryn Adriana Kharul Zaman Centre for Mathematical Sciences, Universiti Malaysia Pahang Al-Sultan Abdullah, Lebuh Persiaran Tun Khalil Yaakob, 26300 Gambang, Pahang, Malaysia.
  • Wan Nur Syahidah Wan Yusoff Centre for Mathematical Sciences, Universiti Malaysia Pahang Al-Sultan Abdullah, Lebuh Persiaran Tun Khalil Yaakob, 26300 Gambang, Pahang, Malaysia.
  • Qistina Batrisyia Azman Shah Credence Tech, Petaling Jaya, Selangor, Malaysia

DOI:

https://doi.org/10.37934/araset.43.1.5465

Keywords:

Twitter, Natural Language Processing, Sentiment Analysis, Machine Learning

Abstract

This study focuses on utilizing machine learning methods for sentiment analysis to identify positive and negative comments regarding Malaysian Places of Interest (PoI). The data was collected from Twitter using social media monitoring software and organized into tables. Pre-processing techniques and Natural Language Processing (NLP) methods were applied to handle missing values and prepare the text data for analysis. The dataset was then split into training and testing sets, and three supervised learning algorithms which are Support Vector Machine, Random Forest, and Naive Bayes were employed to evaluate the sentiment analysis models. The performance of each model was compared, and it was found that Support Vector Machine achieved the highest accuracy, recall score, F1 score, and precision score. This study demonstrates the potential to extend sentiment analysis to analyze sentiments expressed in texts written in the Malay language by utilizing the Malaya corpus. Additionally, visual dashboards can be created to present the findings and provide recommendations based on the insights gathered from the sentiment analysis of PoI feedback.

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Author Biographies

Qiryn Adriana Kharul Zaman, Centre for Mathematical Sciences, Universiti Malaysia Pahang Al-Sultan Abdullah, Lebuh Persiaran Tun Khalil Yaakob, 26300 Gambang, Pahang, Malaysia.

qirynadriana315@gmail.com

Wan Nur Syahidah Wan Yusoff, Centre for Mathematical Sciences, Universiti Malaysia Pahang Al-Sultan Abdullah, Lebuh Persiaran Tun Khalil Yaakob, 26300 Gambang, Pahang, Malaysia.

wnsyahidah@umpsa.edu.my

Qistina Batrisyia Azman Shah, Credence Tech, Petaling Jaya, Selangor, Malaysia

qistina.azmanshah@credence.tech

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Published

2024-04-09

How to Cite

Qiryn Adriana Kharul Zaman, Wan Nur Syahidah Wan Yusoff, & Qistina Batrisyia Azman Shah. (2024). Sentiment Analysis on The Place of Interest in Malaysia. Journal of Advanced Research in Applied Sciences and Engineering Technology, 43(1), 54–65. https://doi.org/10.37934/araset.43.1.5465

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