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Mastering Social Media Mining with R

You're reading from   Mastering Social Media Mining with R Extract valuable data from your social media sites and make better business decisions using R

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Product type Paperback
Published in Sep 2015
Publisher
ISBN-13 9781784396312
Length 248 pages
Edition 1st Edition
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Concepts
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Toc

Table of Contents (8) Chapters Close

Preface 1. Fundamentals of Mining 2. Mining Opinions, Exploring Trends, and More with Twitter FREE CHAPTER 3. Find Friends on Facebook 4. Finding Popular Photos on Instagram 5. Let's Build Software with GitHub 6. More Social Media Websites 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...

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