Over the years I have given many presentations about how to use machine learning to classify text documents. I wanted to create a notebook that would serve as a template for such presentations, allowing me to quickly demonstrate the process of text classification using machine learning techniques. The problem of text classification is a common task in natural language processing, where the goal is to assign predefined categories to text documents based on their content. This notebook demonstrates how to classify documents from the 20 Newsgroups dataset using a decision tree classifier. We will preprocess the text data, extract features using a bag-of-words model, train a classifier, and evaluate its performance.
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This year I intend to join Advent of Code again. While we wait to celebrate Christmas we can solve some programming puzzles together. This year I will join the ING leaderboards. You can also check out my solutions for Advent of code 2021, or see me publish my solutions for 2023.