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Test Shows Big Data Text Analysis Inconsistent, Inaccurate

Slashdot -

DillyTonto writes The "state of the art" in big-data (text) analysis turns out to use a method of categorizing words and documents that, when tested, offered different results for the same data 20% of the time and was flat wrong another 10%, according to researchers at Northwestern. The Researchers offered a more accurate method, but only as an example of how to use community detection algorithms to improve on the leading method (LDA). Meanwhile, a certain percentage of answers from all those big data installations will continue to be flat wrong until they're re-run, which will make them wrong in a different way.

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Elementary Extensions for Python-EFL

LXer -

I have been working on a number of small applications using Elementary. While building these applications I found myself reusing a few of the same gadgets in different places, so I had the idea others might find some of them useful as well.

Pioneering paralysis patient in UK

BBC World News -

The world's first paralysed patient to walk again after a pioneering transplant using cells from his nose, is in Britain. Darek Fidyka is here to help raise funds to continue the pioneering research.

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