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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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Tools
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

Searching on social media

We will discuss how to use the package SocialMediaMineR in R, which would allow us to consider a few URLs and learn about the reach of those URLs in various social media websites. This package can get us details such as number of likes, shares, and comments on social media websites such as Facebook, Twitter, LinkedIn, Pinterest, reddit, and a few others. This package also has functions for pulling data specific to individual social networking sites.

We need to install the package and load it to the R environment, which can be done using the following code:

install.packages("SocialMediaMineR")
library(SocialMediaMineR)

After loading the package using the function library, we will proceed with using the various functions of the package. Let's start with the function get_facebook. This function will search for the mentioned URL in the social networking site Facebook, and it will return the mentioned URL; the normalized URL; and the number of Facebook...

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