Book Image

Mastering Social Media Mining with R

Book Image

Mastering Social Media Mining with R

Overview of this book

With an increase in the number of users on the web, the content generated has increased substantially, bringing in the need to gain insights into the untapped gold mine that is social media data. For computational statistics, R has an advantage over other languages in providing readily-available data extraction and transformation packages, making it easier to carry out your ETL tasks. Along with this, its data visualization packages help users get a better understanding of the underlying data distributions while its range of "standard" statistical packages simplify analysis of the data. This book will teach you how powerful business cases are solved by applying machine learning techniques on social media data. You will learn about important and recent developments in the field of social media, along with a few advanced topics such as Open Authorization (OAuth). Through practical examples, you will access data from R using APIs of various social media sites such as Twitter, Facebook, Instagram, GitHub, Foursquare, LinkedIn, Blogger, and other networks. We will provide you with detailed explanations on the implementation of various use cases using R programming. With this handy guide, you will be ready to embark on your journey as an independent social media analyst.
Table of Contents (13 chapters)
Mastering Social Media Mining with R
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Professional network data from LinkedIn


LinkedIn is a social networking website for people in professional jobs. It has over 364 million users across the world. Many companies have started using LinkedIn to publish their job requirements and as a medium to showcase their skillset to the world.

In order to access the LinkedIn data, we need to use the package Rlinkedin. Get the latest package from the GitHub repository using the following code:

install_github("mpiccirilli/Rlinkedin")
library(Rlinkedin)

For authentication, we need to have a LinkedIn app. It can be registered at https://www.linkedin.com/developer/apps. Similar to the way we had created an app in Facebook, Instagram, and GitHub, we need to create an app at LinkedIn as well. Once the app is created, it will appear in your developers login.

Please refer to the following screenshot to know what it looks like:

The details of the app, such as the client ID and client secret can be found by clicking and opening the app. After creating...