Home ›
Entities
› academia
› Comparing large Language models and human annotators in latent content analysis of sentiment, political leaning, emotional intensity and sarcasm
Comparing large Language models and human annotators in latent content analysis of sentiment, political leaning, emotional intensity and sarcasm
Research article (Scientific Reports, 2025) · cited 50× · AI/ML
Comparing large Language models and human annotators in latent content analysis of sentiment, political leaning, emotional intensity and sarcasm
Summary
Comparing large Language models and human annotators in latent content analysis of sentiment, political leaning, emotional intensity and sarcasm is a scholarly article[1].
Key Facts
Comparing large Language models and human annotators in latent content analysis of sentiment, political leaning, emotional intensity and sarcasm's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Comparing large Language models and human annotators in latent content analysis of sentiment, political leaning, emotional intensity and sarcasm. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparing-large-language-models-and-human-annotators-in-latent-content-analysis-of-sentiment-political-leaning-emotional
MLA“Comparing large Language models and human annotators in latent content analysis of sentiment, political leaning, emotional intensity and sarcasm.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparing-large-language-models-and-human-annotators-in-latent-content-analysis-of-sentiment-political-leaning-emotional.
BibTeX@misc{4ortxyz_comparing-large-language-models-and-human-annotators-in-latent-content-analysis-of-sentiment-political-leaning-emotional_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparing large Language models and human annotators in latent content analysis of sentiment, political leaning, emotional intensity and sarcasm}}, year = {2026}, url = {https://4ort.xyz/entity/comparing-large-language-models-and-human-annotators-in-latent-content-analysis-of-sentiment-political-leaning-emotional}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Comparing large Language models and human annotators in latent content analysis of sentiment, political leaning, emotional intensity and sarcasm — https://4ort.xyz/entity/comparing-large-language-models-and-human-annotators-in-latent-content-analysis-of-sentiment-political-leaning-emotional (retrieved 2026-05-24)