1. This ~3 minute video is based upon Mining the Social Web's Appendix A and teaches you how to install a toolbox for mining rich social web data from popular websites like Twitter, Facebook, and LinkedIn.

    # vimeo.com/72383764 Uploaded 18.7K Plays 6 Comments
  2. This ~3 minute video is based upon Mining the Social Web's Appendix A and demonstrates some fundamentals for operating the virtual machine with Vagrant's command line interfaace (CLI). The virtual machine itself provides a toolbox for mining rich social web data from popular websites like Twitter, Facebook, and LinkedIn.

    It is assumed that you have watched "Installing the Virtual Machine" - vimeo.com/72383764 - before you watch this video.

    # vimeo.com/72709114 Uploaded 2,478 Plays 0 Comments
  3. This ~3 minute video is based upon Mining the Social Web's Appendix A and demonstrates how to remotely connect to your virtual machine over SSH and with IPython Notebook using Bash "magic" as part of a discussion on file synchronization between the guest and host environments. The virtual machine itself provides a toolbox for mining rich social web data from popular websites like Twitter, Facebook, and LinkedIn.

    It is assumed that you have watched "Installing the Virtual Machine" - vimeo.com/72383764 - and "Virtual Machine Fundamentals Part I (Vagrant CLI)" - vimeo.com/72709114 - before you watch this video.

    # vimeo.com/72871930 Uploaded 1,059 Plays 0 Comments
  4. A short ~2.5 minute screencast demonstrating how to create a connection to Twitter's API and run some queries. By the end of this video, you'll be able to tap into Twitter's firehose with the Streaming API and query for words, screen names, hashtags, stock tickers, and more!

    It's best if you've first followed along with other screencasts and can successfully access the collection of IPython Notebooks that are part of the Mining the Social Web VM before following along with this video.

    # vimeo.com/79220146 Uploaded 1,744 Plays 0 Comments
  5. Suffering from information overload? Too much TL;DR happening in your life? Attention span just isn’t what it used to be?

    Watch this short ~30 second screencast that demonstrates a 50+ year old hack for summarizing news articles and other types of online content.

    This video may seem a bit more austere than the others, and that's entirely intentional. It was designed so that it could be compressed down to an animated GIF as an experiment to see if that would be a good form factor for presenting hacks. (After all, it seemed fitting that the presentation of a text summarization algorithm would be as compressed and summarized as possible, right?) The text summarization code itself is taken from Mining the Social Web as are all of the examples in this channel.

    You can read the writeup and view the (~1.7MB animated GIF) version here: wp.me/p3QiJd-3A

    # vimeo.com/79304619 Uploaded 713 Plays 1 Comment

Mining the Social Web Screencasts

Matthew Russell

Screencasts for Mining the Social Web, 2nd Edition

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