Opening the ipa file, and browsing the contents, there are a couple of plain text files - containing stop words, dictionaries and others on natural language processing.
The summarised results from the app are very random - pick any article other than the test case in the video and you won't get any useful output, 3 random sentences usually.
I thought it was a stretch that D'Aloiso taught himself the linear algebra, statistics, probability theory, NLP, and machine learning required to implement such an algorithm. Especially since he doesn't take a deep interest in programming.
I am guessing that he just outsourced the AI/algorithm part based on the articles content: 'we' and 'The Trimit team' and Nick just designed the UI. Overall, great concept, but poor execution (in terms of accuracy) and journalists seem to be buying the hype.
"Summly’s patent pending technology has been evaluated by MIT Researchers and proven state-of-the-art. We utilise ontological detection and machine learning techniques in our summarisation processes.
Our core technology is language independent and produces great results out of the box for any language. In addition, specific optimisations have been made for English, French, Spanish, Italian, Dutch, German, Swedish, Mandarin, Russian, Japanese and Finnish."
It says that, but to what extend is it the truth? I can put that on my website too if my friend from MIT tells me something I did is state-of-the-art just from hearing me describe it (aka not digging into the code etc).
I'm not saying it isn't true, but from the results the app gives on non demo cases and from the discussion in this thread i'm not sure?
