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Mining Social Media - by Lam Thuy Vo (Paperback)

Mining Social Media - by  Lam Thuy Vo (Paperback) - 1 of 1
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About this item

Highlights

  • BuzzFeed News Senior Reporter Lam Thuy Vo explains how to mine, process, and analyze data from the social web in meaningful ways with the Python programming language.
  • About the Author: Lam Thuy Vo is a senior reporter at BuzzFeed News where she focuses on the intersection of technology, society, and social media data.
  • 208 Pages
  • Computers + Internet, Programming Languages

Description



About the Book



"A guide to mining and analyzing data from social media websites. Combines both practical exercises and conceptual lessons on topics like writing a script to tap into an API and even how to analyze the data of an automated Twitter bot."--



Book Synopsis



BuzzFeed News Senior Reporter Lam Thuy Vo explains how to mine, process, and analyze data from the social web in meaningful ways with the Python programming language.

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 web
  • Download data archives and dig through them for insights
  • Inspect HTML downloaded from websites for useful content
  • Format, aggregate, sort, and filter your collected data using Google Sheets
  • Create data visualizations to illustrate your discoveries
  • Perform advanced data analysis using Python, Jupyter Notebooks, and the pandas library
  • Apply what you've learned to research topics on your own

  • Social 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.



    Review Quotes




    "If you want to know a little bit about Data Science while learning Python along the way, Mining Social Media is a must read . . . It's a fun and hands on approach to the topic, and I'd love to have read this when I was starting coding!"
    --Gonçalo Palma, @GonPalma

    "Excellently written, with complex topics made easy to understand, and has a welcoming style of prose."
    --Ryan K. Louie, MD, PhD, @ryanlouie

    "If you haven't read Lam's book, Mining Social Media, trust us -- you're gonna dig it."
    --Craig Newmark Graduate School of Journalism, @newmarkjschool



    About the Author



    Lam Thuy Vo is a senior reporter at BuzzFeed News where she focuses on the intersection of technology, society, and social media data. She has reported for The Wall Street Journal, Al Jazeera America, and NPR's Planet Money, telling economic stories across the US and throughout Asia. Vo has also spent over a decade as an educator, training newsrooms and developing courses for the Craig Newmark Graduate School of Journalism at CUNY.
    Dimensions (Overall): 9.1 Inches (H) x 6.9 Inches (W) x .5 Inches (D)
    Weight: .9 Pounds
    Suggested Age: 22 Years and Up
    Number of Pages: 208
    Genre: Computers + Internet
    Sub-Genre: Programming Languages
    Publisher: No Starch Press
    Theme: Python
    Format: Paperback
    Author: Lam Thuy Vo
    Language: English
    Street Date: November 25, 2019
    TCIN: 92526306
    UPC: 9781593279165
    Item Number (DPCI): 247-37-8710
    Origin: Made in the USA or Imported
    If the item details above aren’t accurate or complete, we want to know about it.

    Shipping details

    Estimated ship dimensions: 0.5 inches length x 6.9 inches width x 9.1 inches height
    Estimated ship weight: 0.9 pounds
    We regret that this item cannot be shipped to PO Boxes.
    This item cannot be shipped to the following locations: American Samoa (see also separate entry under AS), Guam (see also separate entry under GU), Northern Mariana Islands, Puerto Rico (see also separate entry under PR), United States Minor Outlying Islands, Virgin Islands, U.S., APO/FPO

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