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(19 reviews)
Author: Matthew A. Russell
ISBN : B00FNBWNLU
New from $19.79
Format: PDF
Download books file now Free Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More [Kindle Edition] for everyone book 4shared, mediafire, hotfile, and mirror link
How can you tap into the wealth of social web data to discover who’s making connections with whom, what they’re talking about, and where they’re located? With this expanded and thoroughly revised edition, you’ll learn how to acquire, analyze, and summarize data from all corners of the social web, including Facebook, Twitter, LinkedIn, Google+, GitHub, email, websites, and blogs.
- Employ IPython Notebook, the Natural Language Toolkit, NetworkX, and other scientific computing tools to mine popular social web sites
- Apply advanced text-mining techniques, such as clustering and TF-IDF, to extract meaning from human language data
- Bootstrap interest graphs from GitHub by discovering affinities among people, programming languages, and coding projects
- Build interactive visualizations with D3.js, an extraordinarily flexible HTML5 and JavaScript toolkit
- Take advantage of more than two-dozen Twitter recipes, presented in O’Reilly’s popular "problem/solution/discussion" cookbook format
The example code for this unique data science book is maintained in a public GitHub repository. It’s designed to be easily accessible through a turnkey virtual machine that facilitates interactive learning with an easy-to-use collection of IPython Notebooks.
Download latest books on mediafire and other links compilation Free Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More [Kindle Edition]
- File Size: 9841 KB
- Print Length: 448 pages
- Simultaneous Device Usage: Unlimited
- Publisher: O'Reilly Media; 2 edition (October 4, 2013)
- Sold by: Amazon Digital Services, Inc.
- Language: English
- ASIN: B00FNBWNLU
- Text-to-Speech: Enabled
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- Lending: Not Enabled
- Amazon Best Sellers Rank: #61,086 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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- #28
in Kindle Store > Kindle eBooks > Computers & Technology > Programming > Software Design > Software Development - #39
in Books > Computers & Technology > Databases > Data Mining - #44
in Books > Computers & Technology > Web Development & Design > Web 2.0
Free Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More
Mining the Social Web v2 is remarkable in terms of its simplicity as well as its depth. The author has focused on reducing friction to learning and executing traditionally difficult topics such as text mining and natural language processing. I already own the first version of MtSW, and between the new topics (LinkedIn, GitHub, Google+) and the new infrastructure (IPython, VirtualBox, etc) this is like a whole new book full of inspiration and ideas. The fact that a lot of this book is a significantly different than the first edition isn't surprising since the topic of the social web is evolving so rapidly.
The reason this is such an important book is that it teaches non-experts to build simple systems for making decisions on data that is constantly up-to-date. It's an end-to-end manual for continuously gathering data (e.g. Twitter API), analyzing data (e.g. Natural Language Processing), and presenting information (e.g. D3). By significantly reducing the barrier to building these systems, Matthew has increased the number of people on the planet that can provide data for making proper decisions . . . and data always beats opinions.
This is one of the rare books that does a great job of introducing deep technical topics AND providing an easy, practical implementation. Unlike a lot of tech books, MtSW makes it trivial to get started through a combination of Vagrant, VirtualBox, IPython Notebook, and GitHub such that you can have all the updated examples up and running within minutes. I'm much more of a practitioner (read: Hacker) than a computer scientist so this is exactly the right amount of technical detail to try out an idea.