Self-Attention Meets Parallel Memory Networks to Sharpen Text Sentiment Recognition
Researchers have developed a parallel long short-term memory network with self-attention that reaches 91.6 percent accuracy in recognizing sentiment in ...
Researchers have developed a parallel long short-term memory network with self-attention that reaches 91.6 percent accuracy in recognizing sentiment in ...
Researchers have built an AI portfolio manager that converts financial headlines into structured event nodes that dynamically rewire a market ...
Researchers have developed a divide-and-conquer fake news detection framework combining linguistic features and word embeddings that achieves F1-scores above 98 ...
A new survey charts how discrete diffusion models have evolved from theoretical curiosities into billion-parameter systems that can match or ...
A new review in Food Science & Nutrition details how machine learning, computer vision, sensors, blockchain, and natural language processing ...
A dual-encoder AI grammar correction model combining syntactic and semantic pathways outperformed existing systems on standard benchmarks and fixed more ...
A new systematic study shows that low-rank adaptation can match or approach full fine-tuning of transformer models across four sentiment ...
Researchers have developed a zero-shot classification framework that aligns short, noisy citizen hotline texts with richly described class attributes in ...
Researchers report the first trained stance-detection models and benchmark for Sorani Kurdish, using data augmentation and QLoRA fine-tuning of KuBERT ...
Researchers have developed a rough-set-based AI framework that quantifies Traditional Chinese Medicine diagnostics and fuses them with Western clinical data, ...
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© 2026 Scienmag - Science Magazine