(Download ebook) 21 Recipes for Mining Twitter: Distilling Rich Information from Messy Data
·•●- Matthew A. Russell ·•●-
| #2330638 in Books | 2011-03-10 | 2011-03-07 | Original language:English | PDF # 1 | 9.19 x.20 x7.00l,.30 | File Name: 1449303161 | 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 fol|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
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 da... [PDF.ir20] 21 Recipes for Mining Twitter: Distilling Rich Information from Messy Data Rating: 3.94 (729 Votes)
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You can specify the type of files you want, for your device.21 Recipes for Mining Twitter: Distilling Rich Information from Messy Data | Matthew A. Russell. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.
