ellahu1003/Text-Classification-Project

This project focuses on text classification using the 20 Newsgroups dataset, which contains approximately 20,000 documents across 20 different categories. A Multinomial Naive Bayes model was implemented to classify the documents, following a structured workflow that included data cleaning, TF-IDF vectorisation, and model evaluation.

Jupyter Notebook