Mining Social Media

Inbunden, Engelska, 2019

399 kr

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With Scraping Social Media you'll learn how to find out what kind of data is available on popular social media juggernauts like Facebook and Twitter and how to recognise the value of what is measured. Practical exercises interweave with conceptual lessons that cover ways to use Python to extract data from social media sources, analyze it, and make sense of it visually. You'll learn how to write a script that taps into an API, how to scrape data from websites, and even how to make sense of emoji usage in your data.

Produktinformation

Utgivningsdatum2019-11-25
Mått177 x 234 x 14 mm
Vikt420 g
FormatInbunden
SpråkEngelska
Antal sidor208
FörlagNo Starch Press,US
ISBN9781593279165

Tillhör följande kategorier

Programspråk inom Data och it
Digital livsstil och datorspel inom Data och it
Databaser inom Data och it
Människa – datorinteraktion inom Data och it

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.

IntroductionPart I: Data MiningChapter 1: The Programming Languages You’ll Need to KnowChapter 2: Where to Get Your DataChapter 3: Getting Data with CodeChapter 4: Scraping Your Own Facebook DataChapter 5: Scraping a Live SitePart II: Data AnalysisChapter 6: Introduction to Data AnalysisChapter 7: Visualizing Your DataChapter 8: Advanced Tools for Data AnalysisChapter 9: Finding Trends in Reddit DataChapter 10: Measuring the Twitter Activity of Political ActorsChapter 11: Where to Go from Here

"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