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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

Chapter 6. More Social Media Websites

So far, we have discussed how to use the APIs of Twitter, Facebook, Instagram, and GitHub to make use of vital concepts and some machine learning techniques/algorithms to answer critical business questions. In this chapter, we will see APIs of other social media websites, the methodology involved to pull data, the analysis that can be implemented, and cover some critical problems that can be solved.

Social media data is generally massive, noisy, and dynamic in nature; hence, taming data and performing the data analysis becomes challenging, but with a good grasp on the concepts it will be an amazing journey. With such huge data, they become rich sources of information that can help in various research fields and the business world.

The objective of this chapter is to understand the methodology involved in accessing data from social media websites, understanding the huge scope that social data analysis uncovers, as well as highlights on business...

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