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A Snapshot of Climate Change Arguments: Searching for Recurring Themes in Tweets on Climate Change
Applied Computational Linguistics, University of Potsdam.
2022 (English)In: CLARIN Annual Conference Proceedings 2022, 2022Conference paper, Published paper (Refereed)
Abstract [en]

We applied the topic modelling tool Topics2Themes to a collection of German tweets on the subject of climate change. Topics2Themes is currently being further developed and evaluated within Spr{\aa}kbanken Sam, which is a part of {\sc SWE-CLARIN}.  The tool automatically extracted 15 topics from the tweet collection. We used the graphical user interface of Topics2Themes to manually search for recurring themes among the eight tweets most closely associated with the topics extracted. Although the content of the tweets associated with a topic was often diverse, we were still able to identify recurring themes. More specifically, 14 themes that occurred at least three times were identified in the texts analysed.

Place, publisher, year, edition, pages
2022.
National Category
Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:sprakochfolkminnen:diva-2473OAI: oai:DiVA.org:sprakochfolkminnen-2473DiVA, id: diva2:1683536
Conference
CLARIN Annual Conference 2022
Available from: 2022-07-15 Created: 2022-07-15 Last updated: 2023-08-21Bibliographically approved

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https://office.clarin.eu/v/CE-2022-2118-CLARIN2022_ConferenceProceedings.pdf

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Skeppstedt, Maria

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CiteExportLink to record
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