Topic Modeling of Public Discourse on Electric Vehicles in Indonesia Using BERTopic

Muhammad Rizal; Cici Suhaeni

doi:10.65049/b44ktr94

Authors

Muhammad Rizal IPB University Author
Cici Suhaeni IPB University Author

DOI:

https://doi.org/10.65049/b44ktr94

Keywords:

Electric vehicles, Topic Modeling, BERTopic

Abstract

The global shift toward sustainable transportation has increased public attention to electric vehicles (EVs) as an alternative to conventional mobility. This transition also supports the United Nations’ Sustainable Development Goals (SDGs), particularly those related to affordable clean energy and climate action. This study examines how Indonesian users discuss EVs on X (formerly Twitter) by applying BERTopic, an embedding-based topic modeling framework that leverages multilingual sentence embeddings to identify latent themes in public discourse. The analysis reveals that online conversations are dominated by discussions of practical usage, affordability, technological readiness, and brand awareness, while environmental concerns appear less prominent. These insights contribute to a deeper understanding of public perceptions of electric mobility and highlight the social and economic factors influencing EV acceptance in Indonesia

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