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Mining Social Media by Lam Thuy Vo
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Mining Social Media

Finding Stories in Internet Data

Finding Stories in Internet Data

By Lam Thuy Vo

By Lam Thuy Vo

By Lam Thuy Vo

By Lam Thuy Vo

Best Seller
Paperback $29.95

Nov 25, 2019 | ISBN 9781593279165

Ebook $17.99

Dec 10, 2019 | ISBN 9781593279172

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    Mining Social Media by Lam Thuy Vo
    Paperback $29.95
    Nov 25, 2019 | ISBN 9781593279165

    Buy from Other Retailers:

    See All Formats (1) +
    • $29.95

      Nov 25, 2019 | ISBN 9781593279165

      Buy from Other Retailers:

    • Dec 10, 2019 | ISBN 9781593279172

      Buy from Other Retailers:

    Buy the Ebook:

    About Mining Social Media

    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.

    About Mining Social Media

    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.

    Product Details

    Category: Science & Technology

    Paperback | $29.95
    Published by No Starch Press
    Nov 25, 2019 | 208 Pages | ISBN 9781593279165

    Category: Science & Technology

    Ebook | $17.99
    Published by No Starch Press
    Dec 10, 2019 | 208 Pages | ISBN 9781593279172

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    Praise

    “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

    Table Of Contents

    Introduction

    Part I: Data Mining
    Chapter 1: The Programming Languages You’ll Need to Know
    Chapter 2: Where to Get Your Data
    Chapter 3: Getting Data with Code
    Chapter 4: Scraping Your Own Facebook Data
    Chapter 5: Scraping a Live Site

    Part II: Data Analysis
    Chapter 6: Introduction to Data Analysis
    Chapter 7: Visualizing Your Data
    Chapter 8: Advanced Tools for Data Analysis
    Chapter 9: Finding Trends in Reddit Data
    Chapter 10: Measuring the Twitter Activity of Political Actors
    Chapter 11: Where to Go from Here

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