This repository contains code and bonus content which will be added from time to time for the book "Learning Social Media Analytics with R" by Packt
APACHE-2.0 License
Dive into the world of social media and learn the art and science behind leveraging the power of R and analytics to transform data into actionable insights. This book will provide you with detailed strategies, workflows and hands-on approaches to tap into data from diverse social media platforms and showcase the power of leveraging analytics to get insightful information. This repository contains datasets and code used in this book. We will also be adding various notebooks and bonus content here from time to time. Keep watching this space!
The book will also cover several practical real-world use cases on social media using R and its advanced packages to utilize data science methodologies such as sentiment analysis, topic modeling, text summarization, recommendation systems, social network analysis, classification, and clustering. This will enable readers to learn different hands-on approaches to obtain data from diverse social media sources such as Twitter and Facebook. It will also show readers how to establish detailed workflows to process, visualize, and analyze data to transform social data into actionable insights.
Key Features:
What You Will Learn:
ggplot2
, topicmodels
, caret
, e1071
, tm
, wordcloud
, twittR
, Rfacebook
, dplyr
, reshape2
, and many more