BERT-RF model links hotel review sentiment to satisfaction drivers
A BERT-RF system classified hotel reviews with 90.1% accuracy and linked perceived value most strongly to satisfaction in a Chinese ...
A BERT-RF system classified hotel reviews with 90.1% accuracy and linked perceived value most strongly to satisfaction in a Chinese ...
A new hierarchical topic model, DF_sLNDA, replaces LDA's flat Dirichlet prior with nested Dirichlet distributions guided by BERT-derived semantic constraints, ...
A hybrid wolf-pack optimization framework combining multi-leadership search with BERT-based and statistical text features achieved an F1 score of 0.8733 ...
A BERT-based framework combining about 12,000 consumer reviews with statistical data from 15 regional nodes identified Harbin as the absolute ...
A controlled benchmark of four pre-trained transformer models on the Devign dataset found CodeBERT achieved the highest mean accuracy, precision, ...
A multimodal machine-learning system combining tourist images, reviews and ratings achieved 97.68% accuracy on a balanced benchmark while identifying comfort ...
A comparative study of five neural architectures on two datasets found that ELECTRA had the highest full-data accuracy for token-level ...
A five-year observational Weibo study identified seven categories and cyclical, event-driven, value-shaped and polarized patterns in Chinese university hot topics.
A bidirectional AI model combining speech acoustics with transcript meaning reached 90.42% accuracy on the ADReSS Alzheimer’s disease benchmark in ...
A seven-person pilot found that AI-scored speech in a virtual-reality nursing simulation agreed with expert labels in 96.10% of 77 ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine