Tag: sentiment analysis

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 ...

A Mayo Clinic team has created psychometric metrics called Calibration and the Feedback Robustness Index that reveal AI-generated surgical training ...

A landmark analysis of 2.7 million tweets shows that Germany's largest online teacher community functions as a genuine community of ...

A new systematic study shows that low-rank adaptation can match or approach full fine-tuning of transformer models across four sentiment ...

Satellite-based tree canopy data and millions of geotagged social media posts across more than 400 Brazilian cities reveal that each ...

Researchers have developed an aspect-centric, noise-resilient fusion framework that improves fine-grained sentiment analysis of text-image pairs by aligning aspects across ...

Researchers have developed SA-RMMR, an extractive AI framework that summarizes thousands of e-commerce product reviews while preserving product aspects, balancing ...

A comprehensive review of more than 140 studies traces how aspect-based sentiment analysis evolved from rule-based opinion mining to large ...

A hybrid transformer-LSTM model detects sarcasm in Punjabi social media text with 94.29 percent accuracy, revealing hidden customer dissatisfaction for ...