Statistics: Analysis of Textual Data

Education facts

Code: STAN49

<p>Want to understand how text can be analysed using statistics and AI? This course offers an exciting introduction to statistical text analysis - from classic methods to large language models. Perfect if you want to combine language, statistics and technology to solve real-world challenges. </p><p>The course provides an introduction to statistical analysis of text. You will study both methods based on classic statistical approaches (including Bayesian models) and modern approaches such as deep learning and large language models. Topics covered include</p><ul><li>Different ways to represent text to facilitate statistical analysis</li><li>Techniques for classification of text</li><li>Text clustering</li><li>Techniques for identifying different topics/themes in text (topic modelling)</li><li>Techniques for identifying the emotions or sentiments in text (sentiment analysis)</li><li>Methods for text summarisation.</li></ul>

Entry requirements

STAN48 Statistics: Advanced Statistical Programming and STAN52 Statistics: Advanced Machine Learning, or the equivalent.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Statistics: Analysis of Textual Data

  Lund University

  Start date: 19 January 2026

  End date: 22 March 2026

  Pace of study: 50 %