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README.md
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# unga-climate-classifier
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This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) trained to classify climate-related sentences in English using a dataset of 5,600 annotated sentences from the United Nations General Assembly Corpus. It was developed to build the Executive Comparative Climate Attention (ECCA) indicator, introduced in a [paper](https://
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# How to use
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If you use this model or the underlying dataset or indicator, please cite:
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> Emiliano Grossman, Malo Jan; Executive Climate Change Attention: Toward an Indicator of Comparative Climate Change Attention. Global Environmental Politics 2025; doi: https://doi
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```bibtex
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@article{grossman2025executive,
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# unga-climate-classifier
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This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) trained to classify climate-related sentences in English using a dataset of 5,600 annotated sentences from the United Nations General Assembly Corpus. It was developed to build the Executive Comparative Climate Attention (ECCA) indicator, introduced in a [paper](https://doi.org/10.1162/glep.a.1
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) published in Global Environmental Politics.
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# How to use
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If you use this model or the underlying dataset or indicator, please cite:
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> Emiliano Grossman, Malo Jan; Executive Climate Change Attention: Toward an Indicator of Comparative Climate Change Attention. Global Environmental Politics 2025; doi: https://doi.org/10.1162/glep.a.1
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```bibtex
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@article{grossman2025executive,
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