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21 Recipes for Mining Twitter: Distilling Rich Information from Messy Data

Matthew A. Russell




[PDF.cl11] 21 Recipes for Mining Twitter: Distilling Rich Information from Messy Data

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 | #1920114 in Books |  2011-03-10 |  2011-03-07 | Original language:English | PDF # 1 |  9.19 x.20 x7.00l,.30 | File type: PDF | 76 pages

||0 of 0 people found the following review helpful.| Five Stars|By Customer|Great book|0 of 0 people found the following review helpful.| Decent|By Jowanza|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.|0 of 0 people found the foll|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 a

Millions of public Twitter streams harbor a wealth of data, and once you mine them, you can gain some valuable insights. This short and concise book offers a collection of recipes to help you extract nuggets of Twitter information using easy-to-learn Python tools. Each recipe offers a discussion of how and why the solution works, so you can quickly adapt it to fit your particular needs. The recipes include techniques to:

  • Use OAuth to access Twitter dat...

    You easily download any file type for your device.21 Recipes for Mining Twitter: Distilling Rich Information from Messy Data   |  Matthew A. Russell.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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