- Taschenbuch: 444 Seiten
- Verlag: O'Reilly and Associates; Auflage: 2 (8. Oktober 2013)
- Sprache: Englisch
- ISBN-10: 1449367615
- ISBN-13: 978-1449367619
- Größe und/oder Gewicht: 17,8 x 2,4 x 23,3 cm
- Durchschnittliche Kundenbewertung: Schreiben Sie die erste Bewertung
- Amazon Bestseller-Rang: Nr. 121.721 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)
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Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More (Englisch) Taschenbuch – 8. Oktober 2013
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Mining the social web, again
When we first published "Mining the Social Web," I thought it was one of the most important books I worked on that year. Now that we're publishing a second edition (which I didn't work on), I find that I agree with myself. With this new edition, "Mining the Social Web" is more important than ever.
While we're seeing more and more cynicism about the value of data, and particularly "big data," that cynicism isn't shared by most people who actually work with data. Data has undoubtedly been overhyped and oversold, but the best way to arm yourself against the hype machine is to start working with data yourself, to find out what you can and can't learn. And there's no shortage of data around. Everything we do leaves a cloud of data behind it: Twitter, Facebook, Google+ -- to say nothing of the thousands of other social sites out there, such as Pinterest, Yelp, Foursquare, you name it. Google is doing a great job of mining your data for value. Why shouldn't you?
There are few better ways to learn about mining social data than by starting with Twitter; Twitter is really a ready-made laboratory for the new data scientist. And this book is without a doubt the best and most thorough approach to mining Twitter data out there. But that's only a starting point. We hear a lot in the press about sentiment analysis and mining unstructured text data; this book shows you how to do it. If you need to mine the data in web pages or email archives, this book shows you how. And if you want to understand how to people collaborate on projects, "Mining the Social Web" is the only place I've seen that analyzes GitHub data.
All of the examples in the book are available on Github. In addition to the example code, which is bundled into IPython notebooks, Matthew has provided a VirtualBox VM that installs Python, all the libraries you need to run the examples, the examples themselves, and an IPython server. Checking out the examples isr
Über den Autor und weitere Mitwirkende
Matthew Russell, Chief Technology Officer at Digital Reasoning, Principal at Zaffra, and author of several books on technology including Mining the Social Web (O'Reilly, 2013), now in its second edition. He is passionate about open source software development, data mining, and creating technology to amplify human intelligence. Matthew studied computer science and jumped out of airplanes at the United States Air Force Academy. When not solving hard problems, he enjoys practicing Bikram Hot Yoga, CrossFitting and participating in triathlons.
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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.
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!
I also had the pleasure of interviewing Matthew Russell about this book on The Data Skeptic Podcast where we had the chance to have an interesting discussion about the book.
An addendum - SUPER fast support.