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21 Recipes for Mining Twitter 1st Edition

7 customer reviews
ISBN-13: 978-1449303167
ISBN-10: 1449303161
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21 Recipes for Mining Twitter + Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More + Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
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Editorial Reviews

Book Description

Distilling Rich Information from Messy Data

About the Author

Matthew Russell, Vice President of Engineering at Digital Reasoning Systems (http://www.digitalreasoning.com/) and Principal at Zaffra (http://zaffra.com), is a computer scientist who is passionate about data mining, open source, and web application technologies. He’s also the author of Dojo: The Definitive Guide (O’Reilly).

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Product Details

  • Paperback: 76 pages
  • Publisher: O'Reilly Media; 1 edition (March 10, 2011)
  • Language: English
  • ISBN-10: 1449303161
  • ISBN-13: 978-1449303167
  • Product Dimensions: 7 x 0.2 x 9.2 inches
  • Shipping Weight: 4.8 ounces (View shipping rates and policies)
  • Average Customer Review: 3.7 out of 5 stars  See all reviews (7 customer reviews)
  • Amazon Best Sellers Rank: #1,595,356 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

3 of 3 people found the following review helpful By Ricardo Bánffy on April 25, 2011
Format: Paperback
This is a very short, very practical way to get you started exploring the Twitter APIs on your own. It offers a decent amount of code no experienced developer should have much trouble understanding and applying to his or her own needs. The cost per page is not exactly attractive and some readers may want a more in-depth less cookbook-like experience. If you are in a hurry to extract data from Twitter, this book may be for you - for less than $20 for the electronic edition, it will spare you more than that in time spent figuring out libraries and APIs. Plus, it offers some intro on many other interesting libraries that can be applied to a lot of problems besides Twitter mining.
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5 of 7 people found the following review helpful By Bill Day on March 14, 2011
Format: Paperback
"21 Recipes for Mining Twitter" by Matthew Russell provides readers with a problem-oriented crash course in using Python and freely available third party Python packages to mine social data from Twitter. It assumes familiarity with Python and makes quick progress through extracting and using different types of user and streaming data available from the Twitter API via the twitter package in particular.

I like the general approach of calling out problems to be solved, then addressing them one by one with a "recipe" for each. Some might complain that this approach results in disjointedness from one recipe to the next, but in fact that's a feature, not a bug. "21 Recipes for Mining Twitter" is actually a spin-off of Russell's more in depth "Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites" (also an O'Reilly book). The latter shows many more examples, and not just for mining Twitter, but also for harvesting and analyzing social data from many other services and APIs as well. So if you need down-and-dirty recipes for Twitter alone, get this book, and if you need more blanks filled in for Twitter mining and/or information on accessing data from other social services, get the other book. Or heck, get them both!

This book is recommended for: Anyone already familiar with programming who is looking to solve specific problems using Twitter data. It's a slam dunk for Python programmers.

Recommended with reservations for: Non-programmers interested in social data analysis, with the caveat that they will probably need to spend some time working through the Python.
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By Jowanza on September 4, 2011
Format: Paperback Verified Purchase
There is no problem with the book, just a little tough for those new to Python. I would recommend this for those who know Python, but encourage those who don't to be prepared for a couple hours.
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By Averill Cate Jr on June 14, 2011
Format: Paperback Verified Purchase
There is not much fluff in this book. It has very practical examples that work right out of the box.
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