Research Guides: Introduction to Text Mining: Learning Resources

Additional Resources for Learning Text Mining

There are many text mining learning resources available on the web. Below is a list of videos, books, and articles that can help you learn the various text mining techniques outlined in this guide.

Text Mining with R: A tidy approach
This book by Julia Silge, the creator of the tidytext R package, offers a plethora of examples and background information for a deeper dive into topics like Topic Modeling using Latent Dirichlet Allocation and sentiment analysis.
Practical Guide to Text Mining and Feature Engineering
This guide includes examples of feature engineering and machine learning applications of text mining techniques.
Sentiment Analysis with Machine Learning in R
Gives an overview of the RWeka package and how it can be used to build machine learning algorithms for sentiment analysis.
topicmodels: An R Package for fitting Topic Models
Explores the topicmodels package for R.