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Associated with the academic publication: How do countries frame climate change? A global comparison of adaptation and mitigation in UNFCCC National Communications

License: MIT License

climate-adaptation climate-change nlp paris-agreement topic-modeling unfccc climate-mitigation

nlp_for_climatepolicyanalysis's Introduction

DOI

NLP for Climate Policy Analysis

This repository contains code and data associated with the academic publication titled "How do countries frame climate change? A global comparison of adaptation and mitigation in UNFCCC National Communications". Full article published in the journal Regional Environmental Change can be found under the following DOI: 10.1007/s10113-023-02113-3

TopicProportions_byReport.csv

Proportion of each of the 33 named topics present in each NC report. Metadata includes report year, country, and region.

SisterPipelineClean.Rmd

Code used to load, clean and prep data. Also included are the topic model and basic exporations of the topics.

Pearson

Segment of python script calcualting Pearson's correlation values, devloped by Anne Sietsma

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