SURAAK – When Search Is Not Enough (video)
A new way to do research. SURAAK is a web application that uses natural language processing techniques to analyze big data of published healthcare articles in the area of geriatrics and senior care. See how SURAAK uses text causality to find and analyze word relationship is this and other areas of interest.
SURAAK = Semantic Understanding Research in the Automatic Acquisition of Knowledge.
NLP based system that extracts “causal” sentences.
Differences from Google (according to the video)
- Extracts text from PDFs
- Links concepts together building relationships found in extracted text
- Links articles together based on shared concepts
Search demo was better than using Google but that’s not hard to do.
The “notes” that are extracted from texts are sentences.
I am uneasy about the use of sentences in isolation from the surrounding text as a “note.”
It’s clearly “doable,” but whether it is a good idea, remains to be seen. Particularly since users are rating sentences/notes in isolation from the text in which they occur.
BTW, funded with tax dollars from the National Institutes of Health and the National Institute on Aging, to the tune of $844K.
I am still trying to track down the resulting software.
I take this as an illustration that anything over a “google” of search results (a new metric), is of interest and fundable.