4 citations · 8 across the 5 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
cs.CL2025★ 1 cited
Evaluating Large Language Models Against Human Annotators in Latent Content Analysis: Sentiment, Political Leaning, Emotional Intensity, and Sarcasm
Ljubisa Bojic, Olga Zagovora, Asta Zelenkauskaite +4
In the era of rapid digital communication, vast amounts of textual data are generated daily, demanding efficient methods for latent content analysis to extract meaningful insights.…
cs.CY2025★ 1 cited
Towards New Benchmark for AI Alignment & Sentiment Analysis in Socially Important Issues: A Comparative Study of Human and LLMs in the Context of AGI
Ljubisa Bojic, Dylan Seychell, Milan Cabarkapa
As general-purpose artificial intelligence systems become increasingly integrated into society and are used for information seeking, content generation, problem solving, textual an…