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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 1.  Social Media, Social Data, and Python

This book is about applying data mining techniques to social media using Python. The three highlighted keywords in the previous sentence help us define the intended audience of this book: any developer, engineer, analyst, researcher, or student who is interested in exploring the area where the three topics meet.

In this chapter, we will cover the following topics:

  • Social media and social data
  • The overall process of data mining from social media
  • Setting up the Python development environment
  • Python tools for data science
  • Processing data in Python
You have been reading a chapter from
Mastering Social Media Mining with Python
Published in: Jul 2016
Publisher: Packt
ISBN-13: 9781783552016
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