Posts tagged gae

Syllable

Counting Syllables Accurately in Python on Google App Engine

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I wanted to be able to count syllables accurately in Python and looked around for existing code that I could re-use. I found one or two routines written in PHP that looked promising so I ported them to Python but was pretty disappointed with the accuracy.

I also found a Python routine that is part of the contributed code for NLTK that was not bad but again struggled with some words. You see, I had naively thought this would be a simple exercise. I hadn’t realised that Syllable Counting in the English language is pretty difficult stuff with so many More >

Aconym Soup (smaller)

arcanicity.appspot.com – How much jargon does your text contain?

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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 market. Knowing how much jargon text contains allows me to infer which audience the text is aimed at (IT Technical, IT Business, Business). And that’s important to More >

django-logo

Nothing’s ever easy – Google App Engine…

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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 (more of that later). However, I found the process of generating HTML in a Python app akin to pulling my own teeth out. So I looked at templating techniques where embedded code is replaced at run-time which looked like it might be a More >

google_logo

Google Chart Tools, Hmm…

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So my plans for how best to visualise the output of ScrewTinny have been changing recently.

I’ve looked at using Excel to create charts manually. I’ve looked at Python chart libraries. I’ve looked at Google Docs. But now I think I might have found a winner – Google Chart Tools.

I’ve been agonising about how to deliver the results of my NLP text analysis. At the moment I’ve put a bunch of effort into creating charts in .Net so that I can inject them automatically into a PowerPoint using VSTO. It’s working fine but it limits me from being about to use the More >

google-app-engine

Google App Engine and the Arcanicity Index

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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, I’ll list the specification below.

The user will be asked to enter some text and then click a button market Process. DeepThought will then sit and ponder for 7 and half million years and respond with “42″. Either that or it will provide the visitor with some text statistics and an More >

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