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Mastering Social Media Mining with Python
Mastering Social Media Mining with Python

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

By Marco Bonzanini
€28.99 €19.99
Book Jul 2016 338 pages 1st Edition
eBook
€28.99 €19.99
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eBook
€28.99 €19.99
Print
€37.99
Subscription
€14.99 Monthly

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Product Details


Publication date : Jul 29, 2016
Length 338 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781783552016
Category :
Concepts :
Table of content icon View table of contents Preview book icon Preview Book

Mastering Social Media Mining with Python

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Key benefits

  • Make sense of highly unstructured social media data with the help of the insightful use cases provided in this guide
  • Use this easy-to-follow, step-by-step guide to apply analytics to complicated and messy social data
  • This is your one-stop solution to fetching, storing, analyzing, and visualizing social media data

Description

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.

What you will learn

[*] Interact with a social media platform via their public API with Python [*] Store social data in a convenient format for data analysis [*] Slice and dice social data using Python tools for data science [*] Apply text analytics techniques to understand what people are talking about on social media [*] Apply advanced statistical and analytical techniques to produce useful insights from data [*] Build beautiful visualizations with web technologies to explore data and present data products

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details


Publication date : Jul 29, 2016
Length 338 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781783552016
Category :
Concepts :

Table of Contents

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

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