Updated Mar 15, 2026
The University of Plymouth has selected Student Voice to analyse open-text comments from its internal and national surveys. The partnership gives the university a faster way to classify student feedback, spot sentiment patterns, and turn large volumes of comments into evidence that teams can act on.
Through this partnership, the University of Plymouth will automate the labelling and sentiment analysis of survey comments across the institution. Student Voice's machine-learning classifiers will also analyse several years of historical data, helping Plymouth see how feedback on teaching and the wider student experience has shifted over time and how its results compare with sector-level trends, using a defensible NSS open-text analysis methodology.
The University of Plymouth is ranked among the world's top 25 institutions in the Times Higher Education Impact Rankings. It was also the first university in the world to receive the Social Enterprise Mark in Higher Education, and students voted it among the UK's top 20 universities in the 2021 StudentCrowd Awards. That context makes structured analysis of student feedback especially useful for tracking priorities across courses, services, and the wider student experience, particularly when choosing text analysis software for education that can handle survey comments at scale.
To learn more about how Student Voice supports survey analysis, contact:
Dr Stuart Grey
Founder and CEO
stuart@studentvoice.ai
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