Mining Social Media
No Starch Press,US (Verlag)
978-1-59327-916-5 (ISBN)
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.
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.
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
| Erscheinungsdatum | 05.12.2019 |
|---|---|
| Verlagsort | San Francisco |
| Sprache | englisch |
| Maße | 177 x 234 mm |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| ISBN-10 | 1-59327-916-7 / 1593279167 |
| ISBN-13 | 978-1-59327-916-5 / 9781593279165 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
