Processing ......
FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World
 
Mining Social Media: Finding Stories in Internet Data
How many Airports in your home state/province? Click here to find out.
  • Title: Mining Social Media: Finding Stories in Internet Data
  • Author(s) Lam Thuy Vo
  • Publisher: No Starch Press (November 25, 2019); eBook (web-version)
  • Permission: "My publishers at No Starch and I really wanted to ensure that people of all socioeconomic backgrounds have access to this book, so this is a free version of it."
  • Hardcover/Paperback: 208 pages
  • eBook: HTML
  • Language: English
  • ISBN-10: 1593279167
  • ISBN-13: 978-1593279165
  • Share This:  

Book Description

Did fake Twitter accounts help sway a presidential election? What can Facebook and Reddit archives tell us about human behavior? This book 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.

  • 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
About the Authors
  • Lam Thuy Vo is a journalist who marries data analysis with on-the-ground reporting to examine how systems and policies affect individuals. She has reported for BuzzFeed, 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.
Reviews, Ratings, and Recommendations: Related Book Categories: Read and Download Links: Similar Books:
  • O'Reilly® Mining the Social Web, 2nd Edition (Matthew A. Russell)

    This book shows you how to answer these questions like how can you tap into social data and discover who's connecting with whom, which insights are lurking just beneath the surface, and what people are talking about?

  • Social Media Mining: An Introduction (Reza Zafarani, et al)

    This textbook introduces the unique problems arising from social media data and presents fundamental concepts, emerging issues, and effective algorithms for network analysis and data mining.

  • Twitter Data Analytics (Shamanth Kumar, et al)

    This book provides methods for harnessing Twitter data to discover solutions to complex inquiries. The brief introduces the process of collecting data through Twitter's APIs and offers strategies for curating large datasets.

  • Mining the Web: Discovering Knowledge from Hypertext Data

    This is is the first book devoted entirely to techniques for producing knowledge from the vast body of unstructured Web data. Building on an initial survey of infrastructural issues-including Web crawling and indexing.

  • Mining of Massive Datasets (Jure Leskovec, et al)

    It focuses on practical algorithms that have been used to solve key problems in data mining and can be applied successfully to the largest datasets. It begins with a discussion of the map-reduce framework, an important tool for parallelizing algorithms automatically.

  • Data Mining for the Masses (Matthew North)

    This book uses simple examples, clear explanations and free, powerful, easy-to-use software to teach you the basics of data mining; techniques that can help you answer some of your toughest business questions.

Book Categories
:
Other Categories
Resources and Links