Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781787127524
Length 394 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Authors (4):
Arrow left icon
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
Arrow right icon
View More author details
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

Revisiting analytics workflow

As discussed in detail in Chapter 1, Getting Started with R and Social Media Analytics (see A typical social media analytics workflow), we defined some key steps involved in the analysis of data from different social networks. Continuing with the same theme for Twitter, the different use cases we will work on in the next sections can also be broken down into the following key steps:

  • Data access
  • Data processing and normalization
  • Data analysis
  • Insights

The data access step involves understanding the APIs and their corresponding R packages to tap into the social network. We've already talked about creating a Twitter app and did a quick connect and extraction of tweets using R. Each of the following sections will make use of the same initial step for data access and then build upon them based on the requirements. We will discuss and provide details for each of the other steps in this workflow as we progress with the use cases. Stay tuned.

You have been reading a chapter from
Learning Social Media Analytics with R
Published in: May 2017
Publisher: Packt
ISBN-13: 9781787127524
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image