Topic Models from GAFAM Discourse

DOI

This dataset contains the results of an LDA topic model with 200 topics that was applied to a combined corpus of newspaper articles about GAFAM (Google, Amazon, Facebook, Apple, Microsoft) companies (113 123 texts). The objective of this analysis was to analyze what discourses arise in public in relation to GAFAM companies and how the company discourse related to public media discourse about GAFAM in Europe.

For an initial summary of this model and the data that is part of this data set, see here: https://inca-project.eu/highlights/frequency_map.php

Identifier
DOI https://datadoi.ee/handle/33/668
Metadata Access https://datadoi.ee/oai/request?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai:datadoi.ee:33/668
Provenance
Creator Mölder, Martin; Mollona, Edoardo; Diana, Alessio
Publisher University of Tartu
Publication Year 2025
Rights info:eu-repo/semantics/openAccess; Attribution 4.0 International; http://creativecommons.org/licenses/by/4.0/
OpenAccess true
Contact University of Tartu
Representation
Resource Type info:eu-repo/semantics/dataset
Format CSV; text/plain; text/csv
Discipline Other