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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

Uncovering Brand Activity, Popularity, and Emotions on Facebook

From the time we wake up in the morning until we go to sleep, brands play a big part in our lives. The brands such as those that produce toothbrushes, coffee, cars, and clothing, among others, are all vital for our day to day living. There is one brand that is not in the same bracket, but is equally important, Google. Our lives are incomplete without searching on Google. We search for all kinds of information on Google regarding our day to day necessities. While such information adds to our knowledge, conversely, it also means that Google also gets to know a lot about us. However, it could be interesting to know a bit about Google. According to Interbrand, a brand consultancy company, Google is among the world's top brands along with Apple, Facebook, and Coca-Cola. In this chapter, we will explore how to use...

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