Tag: BERT

A new context-aware machine translation architecture based on BERT improves document-level translation precision and anaphoric coherence by using multi-granularity encoding ...

Modeling text embeddings as cyclostationary sequences improves BERT-based multilingual sentiment analysis accuracy by up to 28% across five diverse datasets.

A new hybrid multimodal transformer framework combines contrastive annotation, cross-modal attention, graph-based lexical expansion, and ordinal hate-intensity scoring, reporting 91.8 ...

Researchers applied sentiment analysis and topic modeling to survey responses from 378 computer science students at 18 institutions in the ...

A BERT-based text analytics study of Indian e-commerce comments on natural fibre and plastic mats finds that misalignment between perceived ...

A new BERT-EmoShiftNet fusion framework achieves 85.0% accuracy in recognizing psychological stress by integrating semantic, speech, and visual data in ...

A new DCNN and EResNet model achieved an F1 score of 91.70% on an in-house conversational dataset, 2.8% higher than ...

A new ensemble AI system detects media bias in news text with 77.5 percent accuracy and rewrites flagged passages while ...

A new deep learning model combines bilingual text, cultural pragmatics and wireless sensor data from factory floors to assess whether ...

A hybrid BERT, BiLSTM and BiTCN model classified suicidal ideation in Spanish social media posts with F1-scores of 93.51% and ...