Topic modeling is an unsupervised machine learning technique for text data. It scans a set of documents(book chapters in this case), detecting word and phrase patterns within them, and clustering word groups and similar expressions that best characterize a set of documents.
This is a data science library for reference, book, blog and dataset.
Reference
Data Science Books ModernDive Mastering Shiny Spatial Data Science with R, R-Spatial ColorBrewer, Color Combination Neo4J Time Series - Quantmod, Alfred, fredr MIT Computer Science & Data Science Forecasting: Principles and Practice UC Business Analytics R Programming Guide ML with R ML Glossary ISLR Tidymodels Data Mining Google CoLab Text Mining with R LDA Topic Modeling Speech and Language Processing Deep Learning Deep Learning with R TensorFlow Software