Dataset
Dataset on Sentiment Analysis of Global Climate Change Education Abstracts (2015–2024)
Mendeley Data, Vol.8 December 2025
Elsevier Inc.
2025
Abstract
This dataset contains supporting data for a manuscript currently in preparation, exploring rhetorical tone, sentiment, and vulnerability framing in climate change education literature published between 2015 and 2024.
It includes metadata and sentiment analysis results for 777 peer-reviewed abstracts, covering sentiment polarity, subjectivity, hedging/certainty metrics, rhetorical style classification, vulnerability scores, and author-region metadata.
This dataset is openly available to support transparency, reuse, and further research in the field of climate change education and science communication.
Details
- Title
- Dataset on Sentiment Analysis of Global Climate Change Education Abstracts (2015–2024)
- Authors
- Enrique de Paz (Data Collector) - University of the Sunshine Coast
- Publication details
- Mendeley Data, Vol.8 December 2025
- Format
- Microsoft Excel ; 813 KB
- Publisher
- Elsevier Inc.
- Date published
- 2025
- DOI
- 10.17632/6gxknsrk27.2
- Organisation Unit
- School of Health - Biomedicine; Student Services and Engagement; School of Law and Society
- Language
- English
- Record Identifier
- 991243599902621
- Output Type
- Dataset
Metrics
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