Book Image

Mastering Social Media Mining with Python

By : Marco Bonzanini
Book Image

Mastering Social Media Mining with Python

By: Marco Bonzanini

Overview of this book

Your social media is filled with a wealth of hidden data – unlock it with the power of Python. Transform your understanding of your clients and customers when you use Python to solve the problems of understanding consumer behavior and turning raw data into actionable customer insights. This book will help you acquire and analyze data from leading social media sites. It will show you how to employ scientific Python tools to mine popular social websites such as Facebook, Twitter, Quora, and more. Explore the Python libraries used for social media mining, and get the tips, tricks, and insider insight you need to make the most of them. Discover how to develop data mining tools that use a social media API, and how to create your own data analysis projects using Python for clear insight from your social data.

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Mastering Social Media Mining with Python
Marco Bonzanini
Jul, 2016 | 338 pages
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Table of Contents (10 chapters)
Preface
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Free Chapter
1
1. Social Media, Social Data, and Python
1. Social Media, Social Data, and Python
Getting started
Social media - challenges and opportunities
Python tools for data science
Processing data in Python
Building complex data pipelines
Summary
2
2. #MiningTwitter – Hashtags, Topics, and Time Series
2. #MiningTwitter – Hashtags, Topics, and Time Series
Getting started
The Twitter API
Collecting data from Twitter
Analyzing tweets - entity analysis
Analyzing tweets - text analysis
Analyzing tweets - time series analysis
Summary
3
3. Users, Followers, and Communities on Twitter
3. Users, Followers, and Communities on Twitter
Users, friends, and followers
Mining your followers
Mining the conversation
Plotting tweets on a map
Summary
4
4. Posts, Pages, and User Interactions on Facebook
4. Posts, Pages, and User Interactions on Facebook
The Facebook Graph API
Mining your posts
Mining Facebook Pages
Summary
5
5. Topic Analysis on Google+
5. Topic Analysis on Google+
Getting started with the Google+ API
Embedding the search results in a web GUI
Notes and activities from a Google+ page
Text analysis and TF-IDF on notes
Summary
6
6. Questions and Answers on Stack Exchange
6. Questions and Answers on Stack Exchange
Questions and answers
Getting started with the Stack Exchange API
Working with Stack Exchange data dumps
Text classification for question tags
Summary
7
7. Blogs, RSS, Wikipedia, and Natural Language Processing
7. Blogs, RSS, Wikipedia, and Natural Language Processing
Blogs and NLP
Getting data from blogs and websites
NLP Basics
Summary
8
8. Mining All the Data!
8. Mining All the Data!
Many social APIs
Mining videos on YouTube
Mining open source software on GitHub
Mining local businesses on Yelp
Building a custom Python client
Summary
9
9. Linked Data and the Semantic Web
9. Linked Data and the Semantic Web
A Web of Data
Mining relations from DBpedia
Mining geo coordinates
Summary

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
Previous Section
End of Section 1
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