Description: About this Item The item is a book Paperback The Author Name is Matthew A. Russell The Title is 21 Recipes for Mining Twitter : Distilling Rich Information from Messy Data Condition New Other Comments Pages Count - 72. Category - Computers Product Description - 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 data * Create and analyze graphs of retweet relationships * Use the streaming API to harvest tweets in realtime * Harvest and analyze friends and followers * Discover friendship cliques * Summarize webpages from short URLs This book is a perfect companion to O'Reilly's Mining the Social Web. We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. When possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details are provided automatically from our central master database and can sometimes be wrong. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions. The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling. Gift Ideas This is a great Christmas gift idea. Hours of Service We have many warehouses, some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday. Location ID 9000z iHaveit SKU ID 167486235
Price: 39.77 USD
Location: US
End Time: 2024-11-22T18:06:25.000Z
Shipping Cost: 5.33 USD
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Fiction/Non-Fiction: Non-Fiction
Genre/Subject: Computers
Narrator/Voice Actors: NA
Running Time: NA
Features: NA
Age Level: NA
Modified Item: NA
Modification Description: NA
Title: 21 Recipes for Mining Twitter Distilling Rich Information from
Series: NA
Signed: NA
Inscribed: NA
Personalized: NA
California Prop 65 Warning: NA
Number of Pages: 72 Pages
Publication Name: 21 Recipes for Mining Twitter : Distilling Rich Information from Messy Data
Language: English
Publisher: O'reilly Media, Incorporated
Publication Year: 2011
Subject: Web / Social Media, Data Modeling & Design, Social Aspects / General, General, Databases / Data Mining
Item Height: 0.2 in
Item Weight: 5.2 Oz
Type: Textbook
Item Length: 9.2 in
Subject Area: Mathematics, Computers
Author: Matthew A. Russell
Item Width: 7 in
Format: Trade Paperback