Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More

I am quite surprised about the way this book presenting how to do text mining on social media. Those social media with different data format bundled with both structure and unstructured data is hard to process by a common way of text mining. But, with lots of practical source code and example, it makes quite easy for a beginner to comprehend much more detail.i think this book is quite useful for those try to conduct the text mining for commercial or marketing survey on cyber data from company facebook or twitter. Highly recommend it.

I'm just getting started, but it would have been good to know that it's non-trivial to set up the dev environment and that the Virtual Machine requires Oracle's VirtualBox which is incompatible (cannot be installed on the same computer) with the VM system I use (Hyper-V). It looks like the content is good, but it also seems like it will take some work to get started on it.An addendum - SUPER fast support.

AMAZING book - and as you can understand from other reviews, it's an re-imagineered idea of a 'book'. I won't reiterate as it's covered by other reviewers.Only three additional comments:1) I'm a NON-TECHIE (healthcare) and this book provides such clear guidance that I feel capable of putting it to use, with NO prior experience with, or knowledge of programming. The value of that is not that I'll start programming, however, I can think for myself when it comes to potential uses, limitations, possibilities, challenges for how I want to put this to use.2) You should get the E-BOOK VERSION, not the paper copy as I did, as it'll automatically be up to date, which is crucial as this is an interactive book.3) This book should be required reading for everyone. Why? We need informed customers when it comes to digital products, especially as related to the social web, to understand what it is that you are sharing - blindly for most of us. You're essentially allowing people into your house to go through your drawers and documents. There are situations were you might want that. However, be aware of the kind of access your authorizing and to whom.Matthew A. Russell - wow, well done!

Overall a good resource. Gave me enough of a background that I could get a Twitter reader up and running, which I could then modify to do the specific task that I needed to do. A bit complex to set up the operating environment that the author recommends, but instructions were clear and I was able to get it to work without too much angst.

If you've ever done work in data analysis or academic research of any kind, you'll know that gathering and managing your data to be in an acceptable format is what you do with most of your time. I love that Matthew A. Russell took the time to write a book specifically for working with the data available on social networks. If you ever do work with Natural Language Processing, where you need large amounts of text in order to get your research done, social networks are a fantastic place to get that. You can do amazing things with reading what's put on social networks for example trend analysis. I'm doing research now in NLP, and using what I learned in Mining the Social Web, I started collecting data from Twitter for me to perform my analysis on.This book really gets you exactly what it says it does. You'll learn to work with the APIs for various social network websites. There's no extra cruft or fluff. You know exactly what you're getting and the book walks you through everything very cleanly at a very manageable pace.

I have purchased just about every book available on social media data mining/ analytics, including the first edition of this book. What Matthew Russell has done with this second edition is amazing. With the purchase of this book, you get a fully functional virtual machine (available via download on GitHub.) As updates are made to the code for the book, you can easily pull them from GitHub. This eliminates the countless hours you spend downloading, configuring, troubleshooting, wondering if you got the right version of the needed software, etc. Within minutes you can read the book and type the code samples. Actually, the code is already there, you simply enter in some key values and watch the code run. You can then morph the code and see the effects of your changes.Mining the Social Web is exceptionally well written covering all major social media platforms. Mr. Russell is also very approachable and answers questions very quickly.I really can't say enough good things about this book and how it sets the bar high for future technical books!

In a fast paced world of Data Science,this book brings you up to speed with essential tools that are required in mining the web. Halfway through the book, and I must say this is best technical textbook I have read for so far.(The first time all my codes ran without tweaking).Thanks to the ipython-notebook -virtual environment that accompanied the book.The author gives a somewhat thorough explanation of his codes. Every chapter in the book contains a lot of links to some important sites,so you need to connect to the internet while reading the book.Late last year, I was watching a youtube video where Linkedin staffs were displaying their clustered professional networks . I thought, " these wise geeks , when I am going to cluster my own linkedin network like these guys? " With this book, I did it in less than 15 mins.

This is more than a "book" - it is a course, and a very well thought through, well supported course at that.The intro alone is more than worth the cost of admission - the easy installation of a VM saved me hours of dev ops headache I would have had to endure in my Python explorations. And it just gets better from there - everything is set up for the reader's convenience - just hit Ctrl-Enter and you're revealing the secrets of LinkedIn or Twitter or whatever.The author clearly poured a lot of effort into his project, and it shows: this book sets a new standard for technical books (at least any technical books I've seen). If you have the slightest interest in the topic, check it out.

This is well-written, with good examples that were totally valid about 5 years ago. It's now horribly out-of-date and useless from a practical perspective. I would never have usually bought something so old when it comes to programming/dev but I stupidly assumed it was recent! Don't make the same mistake otherwise you'll end up looking at deprecated FQL queries when the Graph API is now on 2.10. Buy something else.This would have received one star for the ageing had it not been for the writing style. Fun to read.

Really useful book, but If you don't need it immediately you should wait until the 3er edition is out

Item as described

I can not say how cool this book this, it is actually drawing a big smile on my face as I go through it,You will be in no time connecting to Twitter / FB and understanding a lot of concepts about the web.The best value will come if you have had some time to familiarize yourself with Python and IPython/Notebooks.Highly highly recommend.

Great, well written book. Useful not just for the discussion of APIs, but also the toolkits for analyzing data. Recommended.