Access Denied. Practice and Policy of Global Internet Filtering [censorship] eBook

Access Denied. Practice and Policy of Global Internet Filtering [censorship] eBook

$14.00

  • Delivery: Can be download immediately after purchasing. For new customer, we need process for verification from 30 mins to 24 hours.
  • Version: PDF/EPUB. If you need another version, please Contact us
  • Quality: Full page, full content, high quality images, searchable text and you can print it.
  • Compatible Devices: Can be read on any devices (Kindle, NOOK, Android/IOS devices, Windows, MAC,..).
  • e-Book Features: Purchase and read your book immediately, access your eTextbook anytime and anywhere, unlimited download and share with friends.
  • Note: If you do not receive the download link within 15 minutes of your purchase, please Contact us. Thank you!

Guaranteed Safe Checkout

Reviews

There are no reviews yet.

Be the first to review “Access Denied. Practice and Policy of Global Internet Filtering [censorship] eBook”

Your email address will not be published. Required fields are marked *

Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who’s making connections with social media, what they’re talking about, or where they’re located? This concise and practical book shows you how to answer these questions and more. You’ll learn how to combine social web data, analysis techniques, and visualization to help you find what you’ve been looking for in the social haystack, as well as useful information you didn’t know existed.

Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools.

  • Get a straightforward synopsis of the social web landscape
  • Use adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, and LinkedIn
  • Learn how to employ easy-to-use Python tools to slice and dice the data you collect
  • Explore social connections in microformats with the XHTML Friends Network
  • Apply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection
  • Build interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits

“Let Matthew Russell serve as your guide to working with social data sets old (email, blogs) and new (Twitter, LinkedIn, Facebook). Mining the Social Web is a natural successor to Programming Collective Intelligence : a practical, hands-on approach to hacking on data from the social Web with Python.” –Jeff Hammerbacher, Chief Scientist, Cloudera

“A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data.” –Alex Martelli, Senior Staff Engineer, Google