Topic Modeling with R and Tidy Data Principles

Explore topic modeling techniques using R and tidy data principles in this 26-minute tutorial. Learn how to train a topic model on Sherlock Holmes stories using the tidytext and stm packages. Follow along as the instructor demonstrates the process in IBM Cloud's Data Science Experience environment, covering steps from data preparation to implementing and running the topic model. Gain insights into text analysis techniques such as tf-idf exploration and story grouping. Access the accompanying code on the instructor's blog for further reference and practice.

Introduction
Getting started
Prepping the text
Tidying the text
Exploring tfidf
Grouping by story
Implementing topic modeling
Running the topic model