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meron-23/Ethiopian-Ecommerce-Entity-Extractor

Domaine:

natural language processing

Type de record:

softwareproject
Créateur:
mer
Hôte:
# Ethiopian-Ecommerce-Entity-Extractor A machine learning pipeline for extracting product names, prices, and locations from Amharic-language Telegram e-commerce channels using Named Entity Recognition (NER). ## Features - Telegram message scraping - Amharic text cleaning and tokenization - CoNLL-style NER labeling - Fine-tuning multilingual LLMs (XLM-R, mBERT) - OCR for text embedded in images - SHAP and LIME for model explainability ## Directory Structure - `data/`: Raw and processed text/images - `src/`: All training, preprocessing, scraping logic - `notebooks/`: Training and analysis experiments ## Setup ```bash git clone github.com cd Ethiopian-Ecommerce-Entity-Extractor pip install -r requirements.txt

Visit

github.com

Tasks

named entity recognitioninformation extraction

Languages

Amharic

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