This web service gives you suggestions for relevant research subjects based on an automated text analysis of an abstract and/or ISSN
More information about the serviceThe Swedish Higher Education Authority (UKÄ) and Statistics Sweden (SCB) have developed a standard for the Swedish classification of research subjects (SSIF). According to this standard, research is classified in three hierarchical levels. The first two levels (research subject area and research subject group) are identical to the OECD subject classes from Fields of Research and Development, pp. 57-59. The third level subjects are developed by UKÄ and Statistics Sweden. The current version (SSIF 2025) consists of 297 subjects and applies to publications that are registered at institutional repositories (such as DiVA) as of January 2025. Read more here (Swedish).
The underlaying data for LiU Subject Classifier are publications from SwePub, classified according to the previous version of the standard (SSIF 2011). The data consists of approximately 600,000 abstracts. The service converts the subjects to the recent standard (SSIF 2025), based on the code key published by UKÄ/Statistics Sweden. If you get a suggestion of a subject within a research subject group where new subjects have been added, you will also get a list of them. Since you can get hits on topics within the same subject group, the lists of new topics can appear several times in the results. More information and code key can be found at UKÄ. Download the code key.
To find a subject area for a publication, copy the abstract into the appropriate box. If the publication is published in a journal, you may also enter the ISSN (either of print or electronic, in the following format XXXX-XXXX).
When you paste an abstract into the box below, the language will automatically be identified.
The results are presented as a list of up to five matching subjects (besides suggestions for new topics within the research subject group). The list may be a little longer if subjects have been splitted in the latest revision.
The results are sorted according to a score, which is a measure on how well the subject matches with your abstract. However, the score is not shown in the results.
You can read more about the service here.
Any positive and negative feedback is welcome to ep@ep.liu.se. Please include the abstract and/or ISSN you have entered and the result you expected.