🌍 Disaster-Tweet-Classification-Using-NLP-and-Machine-Learning 🚨🐦

Disaster-Tweet-Classification-Using-NLP-and-Machine-Learning is a data science project that applies Natural Language Processing (NLP) and Machine Learning to classify tweets as disaster-related or non-disaster-related. It demonstrates how AI can be leveraged for real-time crisis management, emergency response, and social media monitoring.

✨ Key Features

📝 Text Preprocessing – Tokenization, stopword removal, stemming/lemmatization

🔤 Feature Engineering – TF-IDF, Bag-of-Words, Word2Vec, embeddings

🤖 Machine Learning Models – Logistic Regression, Naive Bayes, Random Forest, SVM

🧠 Deep Learning (Optional) – LSTMs, GRUs, or Transformers for advanced classification

📊 Evaluation Metrics – Accuracy, Precision, Recall, F1-score, ROC-AUC

📈 Data Visualization – Word clouds, frequency plots, and confusion matrices

🚀 Deployment Ready – Flask/FastAPI/Streamlit web app for live tweet classification

🧰 Tech Stack

Programming: Python 🐍

Libraries: scikit-learn, NLTK, spaCy, TensorFlow/Keras, PyTorch, Pandas, NumPy, Matplotlib, Seaborn

NLP Tools: TF-IDF, Word2Vec, GloVe, HuggingFace Transformers

Deployment (Optional): Flask / FastAPI / Streamlit

📁 Project Structure 📁 data/ # Disaster tweets dataset (train/test) 📁 notebooks/ # Jupyter notebooks for preprocessing & modeling 📁 models/ # Trained ML/DL models 📁 src/ # Scripts for preprocessing, training, evaluation 📁 results/ # Metrics, graphs, confusion matrices 📁 app/ # Web app for deployment

🚀 Getting Started git clone https://github.com/yourusername/Disaster-Tweet-Classification-Using-NLP-and-Machine-Learning.git cd Disaster-Tweet-Classification-Using-NLP-and-Machine-Learning pip install -r requirements.txt jupyter notebook

📌 Use Cases

🌐 Emergency Response – Detect disaster tweets in real time to assist authorities

📰 News Verification – Identify genuine disaster reports vs. irrelevant chatter

🏢 Social Media Monitoring – Track crisis-related content for organizations and NGOs

🎓 Research & Education – Learn NLP and ML for text classification tasks

🤝 Contributing

Contributions are welcome! Add new models, improve preprocessing, or extend deployment by submitting a PR.

📜 License

MIT License – Free for research, academic, and personal use.

⭐ Support

If you find this project helpful, please star ⭐ the repo and share it with other NLP and data science enthusiasts!