A comparative evaluation of nursing students in virtual reality demonstrates that while fine-tuned transformer models excel on controlled benchmark data, ...
A computational analysis of 20,000 Ghanaian texts found that power outages and electricity tariffs generated predominantly negative public sentiment, while ...
Computer scientists have developed DTRec, a dual-triangular recommendation model that integrates large language models and knowledge graphs within a multi-task ...
A dual-expert framework combining paraphrase-based augmentation and aspect tokenization reached 98.5% accuracy on the imbalanced Twitter US-Airline Sentiment dataset, outperforming ...
A multi-model NLP study of more than 200 online cancer narrative sources found negative sentiment dominated diagnosis and treatment discourse, ...
Researchers built WILD-CRIME, an automated framework that turns scattered web sources into a semantically enriched wildlife crime knowledge graph for ...
A new ensemble AI system detects media bias in news text with 77.5 percent accuracy and rewrites flagged passages while ...
A controlled benchmark of four pre-trained transformer models on the Devign dataset found CodeBERT achieved the highest mean accuracy, precision, ...
A PSO-fused model combining text, speech and video representations reached 94.0% accuracy on 690 labeled television-dialogue utterances in the MUStARD ...
A study of 8,000 students found that a hybrid knowledge-tracing model combining language semantics, dialogue behavior and multidimensional memory achieved ...
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