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How does the language of 'threat' vary across news domains? : a semi-supervised pipeline for understanding narrative components in news contexts
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- Ryazanov, Igor, 1996- (author)
- Umeå universitet,Institutionen för datavetenskap
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- Björklund, Johanna, 1961- (author)
- Umeå universitet,Institutionen för datavetenskap
- (creator_code:org_t)
- Swedish Artificial Intelligence Society, 2023
- 2023
- English.
- In: SAIS 2023. - : Swedish Artificial Intelligence Society. - 9789180752749 ; , s. 94-99
- Conference paper (peer-reviewed)
Abstract
Subject headings
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- By identifying and characterising the narratives told in news media we can better understand political and societal processes. The problem is challenging from the perspective of natural language processing because it requires a combination of quantitative and qualitative methods. This paper reports on work in progress, which aims to build a human-in-the-loop pipeline for analysing how the variation of narrative themes across different domains, based on topic modelling and word embeddings. As an illustration, we study the language associated with the threat narrative in British news media.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Språkteknologi (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Language Technology (hsv//eng)
Keyword
- topic modelling
- natural language processing
- narrative analysis
- text embeddings
- computational linguistics
- datorlingvistik
- Computer Science
- datalogi
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- ref (subject category)
- kon (subject category)
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