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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 (17) Chapters Close

Title Page
Credits
About the Authors
Acknowledgments
About the Reviewer
www.PacktPub.com
Customer Feedback
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

Summary


YouTube has emerged as the most preferred platform for video viewing, going ahead of television. This popularity has resulted in astronomical amounts of video hours being uploaded and viewed every hour. Due to its popularity, YouTube was acquired by Google in 2006. Since then, it has become a de facto place for companies to upload promotional videos for its consumers and fans. The significant advantage YouTube provides over TV is in the ability to precisely analyze the impact of the video on the viewers. We do this through data accessed by its API like, number of views, likes, and dislikes. YouTube also allows its users to express their views on the videos by commenting displayed under the videos. This piece of information is extremely interesting to measure the response of video audience. All the data on users is a goldmine for media analysts to understand user behavior.

In this chapter, we accessed all publicly available data using the Google Data API. We chose the Sony PlayStation...

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