Generating wordclouds from referral information


30 Second Summary

Referral order forms often contain large paragraphs of free text in the referral reason field. The project uses Natural Language Processing techniques to extract the information most commonly recorded there, so that the service can understand the most common reasons for referral.

Natural Language Processing (NLP)
Referrals
Author
Affiliation

Rebecca Marshall

University Hospitals Coventry and Warwickshire Trust

The aim of this project is to use Natural Language Processing techniques to extract commonly used information in the referral reason of referral order forms.

Often large paragraphs of free text are written here, but the service would find it useful to understand what are some of the most common reasons for referral.