Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Jul 2016
Publisher Packt
ISBN-13 9781783552016
Length 338 pages
Edition 1st Edition
Languages
Concepts
Arrow right icon
Author (1):
Arrow left icon
Marco Bonzanini Marco Bonzanini
Author Profile Icon Marco Bonzanini
Marco Bonzanini
Arrow right icon
View More author details
Toc

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
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image