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Mastering Social Media Mining with Python

You're reading from   Mastering Social Media Mining with Python Unearth deeper insight from your social media data with advanced Python techniques for acquisition and analysis

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Product type Paperback
Published in Jul 2016
Publisher Packt
ISBN-13 9781783552016
Length 338 pages
Edition 1st Edition
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Author (1):
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Marco Bonzanini Marco Bonzanini
Author Profile Icon Marco Bonzanini
Marco Bonzanini
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Table of Contents (10) Chapters Close

Preface 1. Social Media, Social Data, and Python FREE CHAPTER 2. #MiningTwitter – Hashtags, Topics, and Time Series 3. Users, Followers, and Communities on Twitter 4. Posts, Pages, and User Interactions on Facebook 5. Topic Analysis on Google+ 6. Questions and Answers on Stack Exchange 7. Blogs, RSS, Wikipedia, and Natural Language Processing 8. Mining All the Data! 9. Linked Data and the Semantic Web

Chapter 5.  Topic Analysis on Google+

This chapter focuses on Google+ (sometimes called Google Plus or simply G+), one of the most recent big players to join the social network arena. Launched in 2011, it is described as "a social layer across all of Google's services" (https://en.wikipedia.org/wiki/Google%2B). It experienced an extremely rapid growth in its user base, with 10 million users after its first two weeks. After a number of redesigns, towards the end of 2015, Google revealed their larger focus on communities and collections, moving the service towards interest-based networking.

In this chapter, we will discuss the following topics:

  • How to interact with the Google+ API with the help of Python
  • How to search for people or pages on Google+
  • How to use the web framework, Flask, to visualize search results in a web GUI
  • How to process content from a user's post to extract interesting keywords
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