Description: Did fake Twitter accounts help sway a presidential election? What can Facebook and Reddit archives tell us about human behavior? In Mining Social Media, senior BuzzFeed reporter Lam Thuy Vo shows you how to use Python and key data analysis tools to find the stories buried in social media.Whether you're a professional journalist, an academic researcher, or a citizen investigator, you'll learn how to use technical tools to collect and analyze data from social media sources to build compelling, data-driven stories.Learn how to:Write Python scripts and use APIs to gather data from the social webDownload data archives and dig through them for insightsInspect HTML downloaded from websites for useful contentFormat, aggregate, sort, and filter your collected data using Google SheetsCreate data visualizations to illustrate your discoveriesPerform advanced data analysis using Python, Jupyter Notebooks, and the pandas libraryApply what you've learned to research topics on your ownSocial media is filled with thousands of hidden stories just waiting to be told. Learn to use the data-sleuthing tools that professionals use to write your own data-driven stories.
Price: 10 USD
Location: Schenectady, New York
End Time: 2024-11-09T15:40:19.000Z
Shipping Cost: 5.38 USD
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Item Specifics
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
Subject Area: Computers, Social Science
Publication Name: Mining Social Media : Finding Stories in Internet Data
Publisher: No Starch Press, Incorporated
Item Length: 9.2 in
Publication Year: 2019
Type: Textbook
Format: Trade Paperback
Language: English
Item Height: 0.6 in
Author: Lam Thuy Vo
Features: Illustrated
Country/Region of Manufacture: United States
Item Weight: 14.7 Oz
Item Width: 7 in
Number of Pages: 208 Pages
