Welcome to the Text Classification Project! In this project, I'll be implementing a text classification model using the NaiveBayes algorithm on the 20 Newsgroups dataset from scikit-learn.
The 20 Newsgroups dataset is a collection of approximately 20,000 newsgroup documents spanning 20 different newsgroups. It is often used for text classification and clustering tasks. The dataset covers a wide range of topics, including politics, sports, technology, and more.
- Classes/Topics: 20
- Data Split: Training and Testing
- Dataset Source: scikit-learn
The dataset is distributed across various newsgroups, each representing a specific category. It includes both the training and testing sets for comprehensive model evaluation. Each document is labeled with its corresponding newsgroup, allowing for supervised learning.
This project is inspired by the scikit-learn community and the 20 Newsgroups dataset contributors.
Happy coding and text classifying! 🚀