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Longitudinal analysis of sentiment and emotion in news media headlines using automated labelling with Transformer language models
Research article (PLoS ONE, 2022) · cited 95× · AI/ML
Longitudinal analysis of sentiment and emotion in news media headlines using automated labelling with Transformer language models
Summary
Longitudinal analysis of sentiment and emotion in news media headlines using automated labelling with Transformer language models is a scholarly article[1].
Key Facts
Longitudinal analysis of sentiment and emotion in news media headlines using automated labelling with Transformer language models's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Longitudinal analysis of sentiment and emotion in news media headlines using automated labelling with Transformer language models. Retrieved May 24, 2026, from https://4ort.xyz/entity/longitudinal-analysis-of-sentiment-and-emotion-in-news-media-headlines-using-automated-labelling-with-transformer-langua
MLA“Longitudinal analysis of sentiment and emotion in news media headlines using automated labelling with Transformer language models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/longitudinal-analysis-of-sentiment-and-emotion-in-news-media-headlines-using-automated-labelling-with-transformer-langua.
BibTeX@misc{4ortxyz_longitudinal-analysis-of-sentiment-and-emotion-in-news-media-headlines-using-automated-labelling-with-transformer-langua_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Longitudinal analysis of sentiment and emotion in news media headlines using automated labelling with Transformer language models}}, year = {2026}, url = {https://4ort.xyz/entity/longitudinal-analysis-of-sentiment-and-emotion-in-news-media-headlines-using-automated-labelling-with-transformer-langua}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Longitudinal analysis of sentiment and emotion in news media headlines using automated labelling with Transformer language models — https://4ort.xyz/entity/longitudinal-analysis-of-sentiment-and-emotion-in-news-media-headlines-using-automated-labelling-with-transformer-langua (retrieved 2026-05-24)
