Machine Learning-Based Categorization of Racism in Amharic Text Using Multi-Class Classification

Amharic Text Complexity Classification Using Supervised Machine Learning

Supervised Machine Learning based Amharic Text Complexity Classification Using Automatic Annotator Tool

Attention Based Hybrid Deep Learning models for Multi class Amharic News Categorization with Explainable AI

Abstract Efficient and adaptable text classification systems are required due to the incre

Deep learning-based sentiment classification in Amharic using multi-lingual datasets

The analysis of emotions expressed in natural language text, also known as sentiment analysis, is a

Hybrid attention-based multi-class classification of Ethiopian legal texts using deep learning

The exponential growth of legal documents in Ethiopia has created an urgent need for efficient and a

Temesgenzewude/Amharic-Text-Summarizer-Using-Machine-Learning

# Amharic text summarizer Team Members Aklile Yilma UGR/7107/12 Joshua Tesfaye UGR/0359/12 Temesgen