r Caret

Tap into the realm of social media and unleash the power of analytics for data-driven insights using R
About This Book
A practical guide written to help leverage the power of the R eco-system to extract, process, analyze, visualize and model social media data
Learn about data access, retrieval, cleaning, and curation methods for data originating from various social media platforms.
Visualize and analyze data from social media platforms to understand and model complex relationships using various concepts and techniques such as Sentiment Analysis, Topic Modeling, Text Summarization, Recommendation Systems, Social Network Analysis, Classification, and Clustering.

Harness the Power of Machine Learning in R for Data/Text Mining, & Natural Language Processing with Practical Examples

Solve real-world statistical problems using the most popular R packages and techniques

Hands-on text mining and natural language processing (NLP) training for data science applications in R

R Based Data Science: The Ultimate Data Science Course With Practical Examples & Hands-On Training

Learn how to use the R programming language for data science and machine learning and data visualization

Hands-on text mining and natural language processing (NLP) training for data science applications in R.

This book is dedicated to all the people involved in building and maintaining R and the R packages we use in this book. A special thanks to the developers and maintainers of R base, the tidyverse and the caret package.