asabeysj/Sentiment-Analysis_lagos_flood_sentiment

The primary aim of this research is to design, develop, and evaluate a framework for real-time sentiment analysis of social media data to support and enhance crisis management decision-making in Nigeria. lagos_flood_sentiment/ │ ├── app.py # Streamlit UI (dashboard only) ├── models.py # Loading & prediction logic (SVM + BERT) ├── data_pipeline.py # Dataset loading, synthetic generation, future real-tweet ingestion ├── config.py # Paths, keywords, locations, constants ├── requirements.txt ├── svm_pipeline.pkl ├── bert_lagos_model/ # HF model + tokenizer ├── synthetic_lagos_floods.csv └── .streamlit/ └── config.toml # theme config