Text mining

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Text mining – Theory and Practice

By Nadir Zanini and Vikas Dhawan. Research Division. Cambridge Assessment / ARD

This article focusses on Text Mining, a set of statistical and computer science techniques specifically developed to analyse data from text, blogs, and social messaging.

This article aims to give a theoretical introduction to Text Mining and to provide some examples of its applications, with particular focus on education related research to show that Text Mining can be a strategic source of evidence-based information to support decision-making.

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This article forms part of our Research Matters series of publications covering evidence based educational research from Cambridge Assessment, a department of Cambridge University.

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Research Matters

Research Matters 28: Autumn 2019

Research Matters is our free biannual publication which allows us to share our assessment research, in a range of fields, with the wider assessment community.