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Learning Social Media Analytics with R

You're reading from   Learning Social Media Analytics with R Transform data from social media platforms into actionable business insights

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781787127524
Length 394 pages
Edition 1st Edition
Languages
Tools
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Authors (4):
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Raghav Bali Raghav Bali
Author Profile Icon Raghav Bali
Raghav Bali
Dipanjan Sarkar Dipanjan Sarkar
Author Profile Icon Dipanjan Sarkar
Dipanjan Sarkar
Karthik Ganapathy Karthik Ganapathy
Author Profile Icon Karthik Ganapathy
Karthik Ganapathy
Tushar Sharma Tushar Sharma
Author Profile Icon Tushar Sharma
Tushar Sharma
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Toc

Table of Contents (10) Chapters Close

Preface 1. Getting Started with R and Social Media Analytics 2. Twitter – What's Happening with 140 Characters FREE CHAPTER 3. Analyzing Social Networks and Brand Engagements with Facebook 4. Foursquare – Are You Checked in Yet? 5. Analyzing Software Collaboration Trends I – Social Coding with GitHub 6. Analyzing Software Collaboration Trends II - Answering Your Questions with StackExchange 7. Believe What You See – Flickr Data Analysis 8. News – The Collective Social Media! Index

Summary

We've covered a lot in this chapter so I would like to commend your efforts for staying with us till the very end! We kicked off this chapter with a detailed look into social media, its scope, variants, significance and pitfalls. We also covered the basics of social media analytics, as well as the opportunities and challenges involved, to whet your appetite for social media analytics and to get us geared up for the journey we'll be taking throughout the course of this book. A complete refresher of the R programming language was also covered in detail, especially with regard to setting up a proper analytics environment, core structures, constructs and features of R. Finally, we took a quick glance at the basic concepts of data analytics, the industry standard process for analytics, and covered the core essentials of machine learning, text analytics and natural language processing.

We will be looking at analyzing data from various popular social media platforms in future chapters so get ready to do some serious analysis on social media!

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