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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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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

Rfacebook package installation and authentication

The Rfacebook package is authored and maintained by Pablo Barbera and Michael Piccirilli. It provides an interface to the Facebook API. It needs Version 2.12.0 or later of R and it is dependent on a few other packages, such as httr, rjson, and httpuv. Before starting, make sure those packages are installed. It is preferred to have Version 0.6 of the httr package installed.

Installation

We will now install the Rfacebook packages. We can download and install the latest package from GitHub using the following code and load the package using the library function. On the other hand, we can also install the Rfacebook package from the CRAN network. One prerequisite for installing the package using the function install_github is to have the package devtools loaded into the R environment. The code is as follows:

install.packages("devtools")
library(devtools)
install_github("Rfacebook", "pablobarbera", subdir="Rfacebook...
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