arcanicity.appspot.com – How much jargon does your text contain?
My first Google App Engine project went live yesterday. This one deals with estimating the readability of a text when jargon such as acronyms and abbreviations are taken into account. </marketing-bit>As I’ve mentioned before I’m developing a Natural Language Processing system called ScrewTinny (scrutiny) that analyses the language that high-tech vendors use to take their products to […]Continue reading
Nothing’s ever easy – Google App Engine…
Well, at least nothing appears easy to me when selecting the deployment configuration for ScrewTinny – my Python-based competitive marketing intelligence app. I had planned to deploy ScrewTinny to Google App Engine and I’ve actually been very happy with how easy it is to get up and running with it on my Arcanicity Index project […]Continue reading
Google App Engine and the Arcanicity Index
I’ve decided to investigate Google App Engine (GAE) in my spare time and I need a project to test it with. So I’m going to try to produce an on-line version of my Arcanicity Index. It will be very simple system, and because I don’t have a fag packet on which to sketch it out, […]Continue reading