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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 steps involved in the creation of the app on GitHub as well as the procedure for the installation and authentication using the GitHub package for R. We also discussed the public data that can be accessed using the GitHub API from R, implementation of some graphical and nongraphical EDA techniques on the GitHub data, and how to perform, as well as, interpret the correlation analysis.

By implementing the various EDA techniques and exploring the questions that were answered using it, we get a better understanding of when to use what kind of techniques for easier communication.

In the next chapter we will explore APIs of a few more social media sites such as LinkedIn, Tumblr, Wikipedia, Google Maps, Blogger, Foursquare and Quora. We will also cover use-cases that can be implemented.

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