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Mastering Social Media Mining with R

You're reading from  Mastering Social Media Mining with R

Product type Book
Published in Sep 2015
Publisher
ISBN-13 9781784396312
Pages 248 pages
Edition 1st Edition
Languages
Concepts

Table of Contents (13) Chapters

Mastering Social Media Mining with R
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Fundamentals of Mining Mining Opinions, Exploring Trends, and More with Twitter Find Friends on Facebook Finding Popular Photos on Instagram Let's Build Software with GitHub More Social Media Websites Index

Summary


In this chapter, we covered the sequential steps involved in the creation of a Facebook app and used the authentication details to connect to the Facebook Graph API. We also discussed how to use the various functions implemented in the Rfacebook package.

This chapter covers the important techniques that helps in performing vital network analysis and also enlightens us about the wide range of business problems that could be addressed with the Facebook data. It gives us a glimpse of the great potential for implementation of various analyses.

We also discussed the trending topics, measuring CTR performance of a page, methodology to detect spam messages, identifying the influencers and providing recommendations to the users on pages to like, and much more.

In the next chapter we will discuss accessing the data from Instagram using its API and solve interesting use-cases such as identifying the most popular users and destinations. We will also explore implementation of a few machine learning...

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