Supervised Machine Learning for Text Analysis in R

This book provides practical guidance on using text data for regression and classification tasks, covering preprocessing steps like tokenization and word embeddings, and applying algorithms such as regularized regression, support vector machines, and deep learning approaches.

It is designed for data scientists and analysts looking to leverage text data in their modeling workflows.