Description: This textbook provides a comprehensive guide to data mining popular social media platforms such as Facebook, Twitter, LinkedIn, Instagram, Github, and more. With a focus on practical applications, the authors Matthew Russell and Mikhail Klassen cover topics such as web scraping, natural language processing, and network analysis. The book is 432 pages long and comes in a trade paperback format with a height of 1.1 inches, length of 9.1 inches, and width of 7 inches. It weighs 20.5 ounces and is published by O'Reilly, Incorporated in the English language. The publication year is 2019.
Price: 12.5 USD
Location: Decatur, Illinois
End Time: 2024-12-09T17:04:21.000Z
Shipping Cost: 5.38 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money back or replacement (buyer's choice)
Return policy details:
Number of Pages: 426 Pages
Publication Name: Mining the Social Web : Data Mining Facebook, Twitter, Linkedin, Instagram, Github, and more
Language: English
Publisher: O'reilly Media, Incorporated
Item Height: 1.1 in
Publication Year: 2019
Subject: Programming / General, Systems Architecture / Distributed Systems & Computing, Web / Social Media, Databases / Data Mining
Type: Textbook
Item Weight: 20.5 Oz
Subject Area: Computers
Author: Matthew Russell, Mikhail Klassen
Item Length: 9.1 in
Item Width: 7 in
Format: Trade Paperback
