EthioMart E-commerce: Amharic Telegram Data Pipeline & Named Entity Recognition System
# Ethiomart e-commerce: amharic telegram data pipeline & named entity recognition
This repository contains the code for the Ethiomart e-commerce project, which focuses on building a data pipeline for Amharic Telegram data and implementing named entity recognition (NER) models.
## Project Structure
```plaintext
ethiomart-ecommerce/
├── data/
│ ├── raw/ # Raw data files
│ ├── processed/ # Processed data files
│
|── notebooks/ # Jupyter notebooks for data exploration and analysis
│── scripts/ # Python scripts for data processing and analysis
│── src/ # Source code for the project
│── models/ # Trained models
│── reports/ # Reports and visualizations
│── tests/ # Unit tests
```
## Installation
1. Clone the repository:
```bash
git clone
github.com
cd EthioMart-E-commerce-NER
```
2. Install the required dependencies:
```bash
pip install -r requirements.txt
```
## Usage
```bash
jupyter notebook
```
This will open the Jupyter Notebook interface in your web browser, where you can explore the notebooks in the `notebooks/` directory.
## Acknowledgments
This project is inspired by the need for better data processing and analysis tools for Amharic Telegram data, particularly in the context of e-commerce. We acknowledge the contributions of the open-source community and the developers of the libraries used in this project.
## License
This project is licensed under the Apache License - see the LICENSE file for details.