MAHI134456/amharic_e_comerce_data_extractor

# Amharic E-commerce Data Extractor ## Project Overview The Amharic E-commerce Data Extractor is a Python-based project designed to extract, process, and analyze e-commerce data, with a focus on supporting Amharic language content. This tool aims to provide insights into e-commerce trends, customer behavior, and product performance in Amharic-speaking markets. The project is currently in the setup phase, with the development environment configured and initial dependencies installed. ## Current Progress - Python Environment Setup: A virtual Python environment has been created to ensure dependency isolation and reproducibility. - Version Control Configuration: A .gitignore file has been added to exclude unnecessary files (e.g., virtual environment files, cache, and temporary files) from version control. - Continuous Integration: A GitHub Actions workflow (.github/workflows/CI.yml) has been set up to automate testing and ensure code quality on every push or pull request. - Dependencies Installed: - pandas: For data manipulation and analysis. - matplotlib: For creating visualizations and plots. - seaborn: For enhanced data visualization with a focus on statistical graphics. - scraped data from six telegram channels and saved to data/raw_media/telegram_massages.csv. - cleand the data and saved it data/processed_media/cleand_telegram_massages.csv - tokenized the cleaned data and labeled by rule and saved to amharic_saved_conll.txt ## Project Structure ```bash Amharic-Ecommerce-Data-Extractor/ ├── .github/ │ └── workflows/ │ └── CI.yml ├── config/ | └── settings.py ├── data/ | └── labeled/ | | └── amharic_labeled_conll.txt | | | └── processed_media/ | | └── cleand_telegram_messages.csv | | | └── raw_media/ | └── telegram_messages.csv | ├── notebooks/ | └── preprocess.ipynb | ├── preprocessing/ | └── preprocessing_text.py | ├── scripts/ | └── cleaner.py | └── fetch_history.py | └── labels_with_rules.py | └── listen_realtime.py …