abeelgetahun/Amharic-E-commerce-NER

# Amharic E-commerce NER ## About The Project This repository hosts the primary project for **Amharic E-commerce Named Entity Recognition (NER)**. The core objective of this initiative is to develop a robust system capable of identifying and classifying specific entities within Amharic text data originating from the e-commerce domain. This includes, but is not limited to, recognizing product names, brand names, prices, quantities, locations, and other critical information relevant to online commerce. The project aims to contribute to the advancement of Natural Language Processing (NLP) for Amharic, particularly in the specialized field of e-commerce, where accurately extracting structured information from unstructured text is crucial for various applications like product categorization, recommendation systems, and customer service automation. ## Built With This project is developed using the following key technologies and tools: * **Python**: The primary programming language for all scripting, data processing, and model development. * **Jupyter Notebook**: Extensively used for exploratory data analysis, experimentation, model training, and result visualization. * **Machine Learning/Deep Learning Libraries**: (Presumed, specific libraries would be added here once identified from code, e.g., TensorFlow, PyTorch, SpaCy, Hugging Face Transformers) ## Getting Started To get a local copy up and running follow these simple steps. ### Prerequisites Ensure you have Python installed. It is recommended to use `pip` for package management. * Python 3.x * pip ### Installation 1. **Clone the repo** ```bash git clone github.com ``` 2. **Navigate into the project directory** ```bash cd Amharic-E-commerce-NER ``` 3. **Install Python dependencies** (Once specific dependencies are identified from `requirements.txt` or setup files, add them here. For now, this is a general command.) ```bash pip install -r requirements.tx …