TOURIST VOICES ON TWITTER: SENTIMENT AND TOPIC ANALYSIS FOR SUSTAINABLE TOURISM IN PENANG

This research aims to analyse the opinions expressed in tweets about a tourism destination in Malaysia and elucidate the dominant topics discussed on Twitter. This research examines tourist sentiment on a Malaysian destination from a sustainability perspective by analysing 18,018 tweets, collected from November 9, 2021, to January 9, 2022, using Lexicon-based sentiment analysis for polarity detection and Latent Dirichlet Allocation (LDA) for topic modelling. Results revealed that 46% of sentiments were positive, 39% were neutral, and 15% were negative. Tourists primarily discussed food, tourist spots, events, hotels, traffic, and driver attitudes. Core tourism services received positive feedback, whereas additional fees were noted as less favourable. The integration of sentiment analysis and LDA enables a nuanced understanding of tourist experiences, providing actionable insights for policymakers and businesses to enhance sustainable tourism practices and optimize resource management in Penang.

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Publication Details

Journal
International Journal of Business and Society
Published
2025-04-27
DOI
https://doi.org/10.33736/ijbs.9568.2025
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
0.00
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article

TOURIST VOICES ON TWITTER: SENTIMENT AND TOPIC ANALYSIS FOR SUSTAINABLE TOURISM IN PENANG

Ghada ElSayad, Kun Zhu, Nor Hasliza Md Saad, Jun Qian et al.
International Journal of Business and Society
Digital Marketing and Social Media
article

TOURIST VOICES ON TWITTER: SENTIMENT AND TOPIC ANALYSIS FOR SUSTAINABLE TOURISM IN PENANG

Ghada ElSayad, Kun Zhu, Nor Hasliza Md Saad, Jun Qian, Muhamad Mu’az Mohd Ali
article en

Abstract

This research aims to analyse the opinions expressed in tweets about a tourism destination in Malaysia and elucidate the dominant topics discussed on Twitter. This research examines tourist sentiment on a Malaysian destination from a sustainability perspective by analysing 18,018 tweets, collected from November 9, 2021, to January 9, 2022, using Lexicon-based sentiment analysis for polarity detection and Latent Dirichlet Allocation (LDA) for topic modelling. Results revealed that 46% of sentiments were positive, 39% were neutral, and 15% were negative. Tourists primarily discussed food, tourist spots, events, hotels, traffic, and driver attitudes. Core tourism services received positive feedback, whereas additional fees were noted as less favourable. The integration of sentiment analysis and LDA enables a nuanced understanding of tourist experiences, providing actionable insights for policymakers and businesses to enhance sustainable tourism practices and optimize resource management in Penang.

International Journal of Business and SocietyVol. 26(1)
Universiti Sains Malaysia (MY), Arab Academy for Science, Technology, and Maritime Transport (EG)
Openalex Percentile: Top 89%
Digital Marketing and Social Media
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TOURIST VOICES ON TWITTER: SENTIMENT AND TOPIC ANALYSIS FOR SUSTAINABLE TOURISM IN PENANG — Ghada ElSayad, Kun Zhu, et al. · International Journal of Business and Society (2025) | TGRS Research Map | TGRS