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Lund University
Statistics: Analysis of Textual Data
<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 provid…
- Higher education
- Information unavailable
- 18 January 2027
- Lund
- Information unavailable
- 50 %
Overview
<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>
Admission scores
Entry requirements
STAN48 Statistics: Advanced Statistical Programming and STAN52 Statistics: Advanced Machine Learning, or the equivalent.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2027-01-18
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.lu.stan49.62352.20271
- Last checked
- 2026-09-23T10:38:33.477975+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
Programme content
Study structure
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- Programme or course starts
- Programme or course ends
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Previous upper-secondary schools and programmes
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About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.lu.stan49.62352.20271
- Offering identity in the source
- e.uoh.lu.stan49.62352.20271
- Education-form source code
- HS
- Education code in the source
- STAN49
- Change time according to the source
- 2026-07-06T16:40:39
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.