Introduction to 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. 
• Text Analysis in R -- This article provides an in-depth look at 
• 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.