DuST - Dutch Stance Twitter

This repository contains the full text format and the annotations for the Dutch Stance Twitter (DuST) dataset. The dataset is part of larger annotation initiative, the Dynamic Stance Corpus (DySC), a multi-lingual, and multi-topic corpus in Catalan and Dutch to model dynamic stance in online interactions in social media platforms. Full description of the dataset, including the publicly distributable format, is available at https://github.com/projecte-aina/dynamic-stance-analysis

Verfasser: Caselli, Tommaso
Erscheinungsdatum: 2023
Verlag/Hrsg.: DataverseNL
Schlagwörter: Arts and Humanities / Computer and Information Science / stance detection / multilingual / dynamic stance
Sprache: Niederländisch
Permalink: https://search.fid-benelux.de/Record/base-27403944
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://doi.org/10.34894/OOTV3G