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Text mining, or digital text analysis, is the process of using digital tools to search for, extract and analyse text data.

«Text mining or text analytics is an umbrella term describing a range of techniques that seek to extract useful information from document collections through the identification and exploration of interesting patterns in the unstructured textual data of various types of documents – such as books, web pages, emails, reports or product descriptions.» (Truyens & van Eecke, 2014)

Why text mining? Automated search strategies can provide an overview of patterns and tendencies in large volumes of text. This may provide insight that would otherwise be difficult to achieve, time-consuming or both through conventional qualitative methods.

  • Text mining types

    • Click here for a presentation of various text mining methods such as searching via n-grams and use of collocation analysis.

  • Text mining tools and software bundles

    • There are a lot of tools and software dealing with text mining. Click here for a presentation of some that we’re confident in.

  • Getting started with tools and software

    • Click here for guides on how to use the tools and software bundles that we’ve selected.

  • Research Computing @ UiO

    • Click here to see an overview of the computing tools and services that are available for researchers at UiO.

  • Data visualisation

    • Interested in learning about visual methods to explore, communicate and clarify your data?