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ZENODO
Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Presentation . 2025
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2025
License: CC BY
Data sources: Datacite
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The ONTOLISST project and its preliminary results on using NLP for automated topic assignment

descriptionPublicationkeyboard_double_arrow_right Presentation , Other literature type 11 Aug 2025 English Publisher:ZenodoFunded by:EC | OSCARS
Authors: Kleemola, Mari; Sebők, Miklós; Vajda, Roza;

doi: 10.5281/zenodo.16794477 , 10.5281/zenodo.16794476

The ONTOLISST project and its preliminary results on using NLP for automated topic assignment

Abstract

This presentation introduces the ONTOLISST project and describes its first experiments related to AI-based metadata assignment using Natural Language Processing (NLP) tools to annotate topics on social science survey data that have been documented using the Data Document Initiative (DDI) metadata standards. The slides were presented in the webinar Intelligence artificielle et métadonnées en SHS organised by CDSP on February 10, 2025. The webinar was part of the 2025 edition of the International Love Data Week. Webinar recording is also available. 

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Keywords

Artificial intelligence, Metadata, FOS: Social sciences, Social sciences

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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