tkodjo/aupsc-scraper

aupsc-scraper is a project that scrapes, parses, and analyzes African Union Peace and Security Council (AUPSC) communiqués for 2025. Using NLP and sentiment analysis, it measures diplomatic intent and tone, providing structured data and insights into multilateral discourse and decision-making. **au-scraper** is a tool that scrapes, parses, and analyzes **African Union Peace and Security Council (AUPSC) communiqués for 2025**. It leverages **Natural Language Processing (NLP)** and **sentiment analysis** to measure **diplomatic intent and tone**, transforming unstructured diplomatic texts into structured data for further research and policy insights. --- ## ✨ Features - 🌐 Scrapes AUPSC communiqués (2025) from official sources - 📄 Parses and cleans raw text into machine-readable formats - 🧠 Applies **NLP pipelines** for sentiment and tone analysis - 📊 Measures **diplomatic intent and tone** with custom scales - 📈 Exports structured datasets for visualization and policy modeling --- ## ⚙️ Tech Stack - **Python 3** - **BeautifulSoup4** / **Requests** (web scraping) - **NLTK / spaCy / Transformers** (NLP & sentiment analysis) - **Pandas / NumPy** (data processing) - **Matplotlib / Seaborn / Plotly** (visualization) --- ## 🚀 Usage ```bash # Clone the repository git clone github.com # Navigate into the project cd aupsc-scraper # Install dependencies pip install -r requirements.txt # Run the scraper & analysis: you will get the chart in the output\charts folder python run.py