u11006952/MIT808_Capstone

Climate Policy Theme Analysis in Africa # Climate Policy Theme Analysis in Africa A Corpus-Based NLP Framework for Thematic Analysis of English Climate Documents and Policies in Africa. ## 📊 Project Overview This repository analyzes the distribution of 15 climate policy themes across three governance levels in Africa: - **National Climate Policies** (African countries) - **UNFCCC/Paris Agreement Submissions** - **African Union Documents** ## 🔍 Key Findings - **Themes are empirically distinct** - Maximum correlation between themes is only 0.67, confirming all 15 categories measure unique policy dimensions - **Governance level matters** - Different policy frameworks prioritize different themes (see visualizations below) - **Natural policy clusters** emerged from correlation analysis, showing how themes tend to co-occur ## 📈 Visualizations ### Theme Correlation Clusters ### Governance Level Comparison ### Policy Heatmaps | National Policies | Paris Agreement | AU Documents | |-------------------|-----------------|--------------| | | | | ## 🚀 Getting Started ### Prerequisites - Python 3.8+ - pip ### Installation ```bash # Clone the repository git clone github.com cd MIT808_Capstone # Create and activate virtual environment python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate # Install dependencies pip install -e . # 1. Export Excel sheets to CSV python notebooks/01_export_excel_sheets.py # 2. Generate heatmaps python notebooks/02_generate_heatmaps.py # 3. Run correlation analysis python notebooks/03_theme_correlation_analysis.py Project Structure ├── data │ └── processed/ <- Cleaned CSV files ├── notebooks/ <- Analysis scripts (numbered order) ├── reports/figures/ <- Generated visualizations ├── Data_Analysis/ <- Source code │ └── config.py <- Theme definitions └── requirements.txt <- Dependencies