Abdiaziz-Bashiir01/Somali-Text-Classification-Project

HEAD # Somali Text Classification (NLP Project) This project builds a simple text classification model for the Somali language. It demonstrates how to preprocess text, extract features with TF-IDF, and train a machine learning model for classification. ## Features - Somali text preprocessing - TF-IDF feature extraction - Baseline model: Logistic Regression - Evaluation using Accuracy, Precision, Recall, and F1-score ## Repository Structure ``` somali-text-classification/ │── data/ # (optional) store datasets here │── notebooks/ │ └── somali_text_classification.ipynb │── src/ │ ├── preprocess.py │ ├── train.py │ └── evaluate.py │── requirements.txt │── README.md ``` ## Installation ```bash git clone github.com cd somali-text-classification pip install -r requirements.txt ``` ## Usage Run the notebook for an end-to-end demo: ```bash jupyter notebook notebooks/somali_text_classification.ipynb ``` Or train from command line: ```bash python src/train.py ``` ## Future Work - Expand dataset with more Somali texts - Add deep learning models (LSTMs, Transformers) - Deploy with FastAPI/Streamlit ======= # Somali-Text-Classification-Project >>>>>>> 9ed5eb9c8b2e7d372c76c7f4fefd120e56dd85dc