ArticleScientific reports2026
Market sentiment of electric vehicles in Malaysia.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Electric Vehicles (EVs) are gaining traction globally due to their potential for energy efficiency and emission reduction. In Malaysia, where the government is actively promoting EV adoption, market sentiment plays a critical role. Most existing studies on EV market sentiment in Malaysia rely heavily on survey-based methods, which may be limited in both scale and objectivity. This study applies text mining techniques, specifically topic modelling and sentiment analysis to examine Malaysian consumers' attitudes toward EVs using user comments from a major national automotive information website. A total of 9,618 user comments between January 2023 and February 2024 were analysed using LDA/VADER. The results indicate that "price" is the most frequently mentioned keyword, while key discussion topics include market trends, government incentives, battery and charging, and product features. Sentiment analysis suggests that consumers hold a mildly positive or curious attitude toward EVs. These findings provide practical insights for policymakers seeking to enhance market engagement and accelerate EV adoption in Malaysia.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.