Abena-3565/Amharic-News-Text-classification_NLP_Project

# Amharic-News-Text-classification_NLP_Project ## 📌 Project Description This project focuses on **Amharic News Text Classification** using **Natural Language Processing (NLP)** and Machine Learning techniques. The objective of the project is to classify Amharic news articles into different categories automatically based on their text content. The project was developed using **Google Colab** and later pushed to **GitHub**. --- ## 🛠️ Technologies Used - Python - Google Colab - Pandas - NumPy - Scikit-learn - Matplotlib - Seaborn - NLP Techniques --- ## 📂 Project Structure Amharic-News-Text-classification_NLP_Project/ │ ├── NLP_News_Classiffication.ipynb ├── README.md ## Project Workflow Data Collection Data Preprocessing Text Cleaning Feature Extraction Model Training Model Evaluation Prediction and Classification ## 🚀 How to Run the Project Step 1: Clone the Repository git clone github.com Step 2: Open Google Colab Open the notebook file: NLP_News_Classiffication.ipynb Step 3: Install Required Libraries pip install pandas numpy scikit-learn matplotlib seaborn Step 4: Run the Notebook Run all cells sequentially in Google Colab. ## 📊 Expected Results Classification of Amharic news articles Improved understanding of NLP for Amharic language Practical experience with machine learning and text classification ##📖 Learning Outcomes Through this project, we learned: Natural Language Processing (NLP) Text preprocessing techniques Machine learning model development Collaborative development using GitHub Working with Google Colab ## 🔗 GitHub Repository Repository Link: github.com ## 📜 License This project is developed for educational and academic purposes.