We are using software originally developed out of Falmouth Uni but now analysing 70 million online games reviews from forums, chat rooms, App Store and more.
Our Natural Language Processing software (Pulse) is now being used to analyse open text comments in the Friends and Family feedback. And it's remarkably accurate, the software reads and understand every comment and sorts it from minus 100 to plus 100 on a sentiment scale, it understands the theme or topic and sorts the comments accordingly.
We started by asking the software to sort into the CQC's key lines (safe, caring, effective etc), We then added Carman's Healthcare Dimensions as suggested to us by NHS England. But the software tells us what are the emerging categories that we should be looking at, it spots trending topics and every category gets scored. CQC will be looking at it shortly to help with regulation.
We also have a digital FFT & review platform (Hootvox) and the two plug together providing both qualitative and quantitative measurement 'live'.
We can track, analyse and compare patient journeys. We know that Southampton Uni have played with a simple version of this technology and NHS England's Insight Team commissioned another university to investigate sentiment analysis and NLP to confirm if it could become a viable solution for Healthcare.
As I said we are happy to meet and talk with anyone who is interested, and we would be happy to apply our software to other applications.
Have you tried the sugar smart app?? There are so many products it doesn't recognise.....
Could be of your interest take in touch
with them Their CEO Jorge Armanet
Please let me know your answers I am looking for to apply its in Chile
please get in touch as I am just starting on this journey!
Another company is using the same tech to identify online grooming.
Help. I am looking for guide
Hi, could you let me know what sort of guide you're looking for so I can point you in the right direction? Best wishes, Rebecca.