Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More Second Edition

4.0 out of 5 stars 79 ratings
Related Text
ISBN-13: 978-1449367619
ISBN-10: 1449367615
Why is ISBN important?
ISBN
This bar-code number lets you verify that you're getting exactly the right version or edition of a book. The 13-digit and 10-digit formats both work.
Scan an ISBN with your phone
Use the Amazon App to scan ISBNs and compare prices.
Have one to sell?
Loading your book clubs
There was a problem loading your book clubs. Please try again.
Not in a club? Learn more
Amazon book clubs early access

Join or create book clubs

Choose books together

Track your books
Bring your club to Amazon Book Clubs, start a new book club and invite your friends to join, or find a club that’s right for you for free.
Condition: Used: Good
Access codes and supplements are not guaranteed with used items.
47 used from $5.99
FREE Shipping on your first order. Details
Only 8 left in stock - order soon.
Ships from and sold by Amazon.com.
Available at a lower price from other sellers that may not offer free Prime shipping.
Arrives: Tuesday, Oct 6 Details
Fastest delivery: Wednesday, Sep 30 Details
List Price: $44.99
Save: $4.30 (10%)
7 new from $29.84
& FREE Shipping. Details

Mining+the+Social+Web%3A+Da... has been added to your Cart

Available at a lower price from other sellers that may not offer free Prime shipping.

"The Eighth Sister" by Robert Dugoni
A pulse-pounding thriller of espionage, spy games, and treachery by the New York Times bestselling author of the Tracy Crosswhite Series. | Learn more
click to open popover

Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.

  • Apple
    Apple
  • Android
    Android
  • Windows Phone
    Windows Phone
  • Click here to download from Amazon appstore
    Android

To get the free app, enter your mobile phone number.

kcpAppSendButton

Special offers and product promotions

Editorial Reviews

Review

Mining the social web, again
When we first published "Mining the Social Web," I thought it was one of the most important books I worked on that year. Now that we're publishing a second edition (which I didn't work on), I find that I agree with myself. With this new edition, "Mining the Social Web" is more important than ever.
While we're seeing more and more cynicism about the value of data, and particularly "big data," that cynicism isn't shared by most people who actually work with data. Data has undoubtedly been overhyped and oversold, but the best way to arm yourself against the hype machine is to start working with data yourself, to find out what you can and can't learn. And there's no shortage of data around. Everything we do leaves a cloud of data behind it: Twitter, Facebook, Google+ -- to say nothing of the thousands of other social sites out there, such as Pinterest, Yelp, Foursquare, you name it. Google is doing a great job of mining your data for value. Why shouldn't you?
There are few better ways to learn about mining social data than by starting with Twitter; Twitter is really a ready-made laboratory for the new data scientist. And this book is without a doubt the best and most thorough approach to mining Twitter data out there. But that's only a starting point. We hear a lot in the press about sentiment analysis and mining unstructured text data; this book shows you how to do it. If you need to mine the data in web pages or email archives, this book shows you how. And if you want to understand how to people collaborate on projects, "Mining the Social Web" is the only place I've seen that analyzes GitHub data.
All of the examples in the book are available on Github. In addition to the example code, which is bundled into IPython notebooks, Matthew has provided a VirtualBox VM that installs Python, all the libraries you need to run the examples, the examples themselves, and an IPython server. Checking out the examples isr

About the Author

Matthew Russell, Chief Technology Officer at Digital Reasoning, Principal at Zaffra, and author of several books on technology including Mining the Social Web (O'Reilly, 2013), now in its second edition. He is passionate about open source software development, data mining, and creating technology to amplify human intelligence. Matthew studied computer science and jumped out of airplanes at the United States Air Force Academy. When not solving hard problems, he enjoys practicing Bikram Hot Yoga, CrossFitting and participating in triathlons.


Product details

  • Item Weight : 1.61 pounds
  • Paperback : 448 pages
  • ISBN-10 : 1449367615
  • ISBN-13 : 978-1449367619
  • Product Dimensions : 7 x 0.94 x 9.19 inches
  • Publisher : O'Reilly Media; Second Edition (October 29, 2013)
  • Language: : English
  • Customer Reviews:
    4.0 out of 5 stars 79 ratings
Pages with related products. See and discover other items: google book, brand development, facebook groups, network analysis, network programming, network science