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Python Social Media Analytics

You're reading from   Python Social Media Analytics Analyze and visualize data from Twitter, YouTube, GitHub, and more

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787121485
Length 312 pages
Edition 1st Edition
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Authors (3):
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Baihaqi Siregar Baihaqi Siregar
Author Profile Icon Baihaqi Siregar
Baihaqi Siregar
Siddhartha Chatterjee Siddhartha Chatterjee
Author Profile Icon Siddhartha Chatterjee
Siddhartha Chatterjee
Michal Krystyanczuk Michal Krystyanczuk
Author Profile Icon Michal Krystyanczuk
Michal Krystyanczuk
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Table of Contents (10) Chapters Close

Preface 1. Introduction to the Latest Social Media Landscape and Importance FREE CHAPTER 2. Harnessing Social Data - Connecting, Capturing, and Cleaning 3. Uncovering Brand Activity, Popularity, and Emotions on Facebook 4. Analyzing Twitter Using Sentiment Analysis and Entity Recognition 5. Campaigns and Consumer Reaction Analytics on YouTube – Structured and Unstructured 6. The Next Great Technology – Trends Mining on GitHub 7. Scraping and Extracting Conversational Topics on Internet Forums 8. Demystifying Pinterest through Network Analysis of Users Interests 9. Social Data Analytics at Scale – Spark and Amazon Web Services

Spark on the Cloud – Amazon Elastic MapReduce

Finally, now that you have learnt about Spark, let's finally look at potentially limitless scaling! We will learn how to use cloud services to deploy Spark clusters. There are many big data and data analytic service providers, such as Google or IBM Bluemix, but we will concentrate on Amazon for this chapter. We will provide screenshots of the process because sometimes such platforms can get a little overwhelming. The following are the steps for the process:

  1. First, we need to create an Amazon Cloud account if you don't already have one. Go to https://aws.amazon.com and click on create a free account:
  1. Provide your credentials and click on Create account.
  2. Next, we have to create a Key Pair. Key Pairs are the basic authentication method on Amazon.

 

  1. First, we need to go the EC2 services dashboard:
  1. Then, click...
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