Why in the
world would anyone want to mine data from social websites, you may be asking
yourself just about now. Good question. Suppose you were in the process of
creating a product, but at the same time you are curious as to which niche it
would fit into. You may also be curious as to which niche is the most
financially beneficial for your product, as well as perhaps you should tweak it
to maximize your particular niche after mining the web for this data.
Who would benefit
from this product the most? And best of all, which social websites do your
prospective buyers frequent the most. Is it Facebook? What about Twitter? Do
they have a membership on LinkedIn? Are they a member of Google+? Regardless of
where they may be, there is a good chance that your data mining will pay off.
There is plenty
of example code, which makes use of the Python language. There is also IPython
Notebook which is an interactive Python interpreter which gives you a notebook
like experience from your web browser. With a few clicks from within IPython
Notebook, you can be well on your way to learning more about the users of
social websites than you might have ever thought possible.
A part of the
paragraph on IPython is paraphrased from the books itself. I would definitely recommend
this book to others. It looks great on my Kindle Fire HD.
Link product title to this URL: http://shop.oreilly.com/product/0636920030195.do
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