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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

Getting Facebook page data


Facebook is not only used by individuals but also by many businesses. Most of the businesses create a Facebook page to advertise about their company and to display their products, offers, and related content. Hence, it becomes really important to check what kinds of posts are liked by the user, perform experimentation with different content, and identify the content that results in a follower's engagement.

Let's see how to get the contents of a page. First, we need to get the name of the page. We can get this from the URL of the page. Let's take TED as an example; from the URL, we know that the name of the page is TED.

We use the function getPage to get the contents posted in TED's page. For proper functioning of the function, ensure that Version 0.6 of the httr package is loaded in the R environment. Unlike Facebook friends' data, it is not necessary to like the page in order to pull the data. We can pull the data from any page provided the page, as well as the...

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