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Warwick Text Analytics Workshop

Funded by the British Academy, this free-to-attend, hands-on workshop is for UK-based researchers in the social sciences and humanities who wish to unlock the power of computational text analysis.

The workshop will provide a hands-on introduction to modern methods for analysing large collections of text, enabling participants to explore research questions that would be difficult to address using traditional manual approaches alone.

No prior coding experience is expected.

Eligibility: UK-based researchers

Tentative topics include:

Basics in corpus analysis in R – building and preparing text corpora and carrying out fundamental computational analyses using R.

Analysing texts using Large Language Models – using modern AI tools to extract information, classify text, and support large-scale textual analysis.

Text mining – identifying patterns, frequencies, and meaningful structures within large collections of text.

Topic modelling – uncovering hidden thematic structures across large document collections.

Sentiment analysis – measuring emotional tone, attitudes, and evaluative language in texts.

Measuring semantic similarity – quantifying how closely related words, sentences, or documents are in meaning.

Reproducible workflows – organising code and data so analyses can be transparently replicated and shared.

Date: 14-15 July 2026
The workshop will run 9am-5pm on both days, with refreshments provided.

Free-to-attend

Location: Psychology Building, University of Warwick

Registration Link

Please register here.
Registration deadline: 5pm, 29 May 2026
The outcome will be announced in the first week of June 2026.

Accommodation

Participants coming from outside the area will need to arrange their own accommodation. High-quality on-campus accommodation is available at a reasonable cost: Click here for further details.

Organisers: Dr Matthew Mak & Professor Lukasz Walasek (Department of Psychology)
Enquiries: matthew.mak@warwick.ac.uk

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