Article proposal: Spam classification with neural networks

An article currently being reviewed introduces ML-Pack and uses it to do machine learning to classify spam. The method achieves 85% accuracy and uses command line processing. Neural networks can achieve higher accuracy. Might a C++/Ruby/Go/Julia approach to spam classification with neural networks be of interest?

So this is a different method of achieving the same end result, and GUI based I take it? Might be a good article. I say …

+1 from me. Seems like a good follow-up