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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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Toc

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

Project planning


Analysis of content on social media can get very confusing due to difficulty of working on a large amount of data and also trying to make sense out of it. For this reason, it's extremely important to ask the right questions in the beginning to get the right answers. Even though this is an exploratory approach, and getting exact answers may be difficult, the right questions allow you to define the scope, process, and the time.

The main questions that we will be working on are the following:

  • What does Google post on Facebook?
  • How do people react to Google posts? (likes, shares, and comments)
  • What do Google's Facebook audience say about Google and its ecosystem?
  • What are the emotions expressed by Google's Facebook audience?

With these questions in mind we will proceed to the next steps.

Scope and process

The analysis will consist of analyzing the feed of posts and comments on the official Facebook page of Google.

The process of information extraction is organized in a data flow. It...

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