AI Reads Between the Lines of Cancer Patients’ Online Posts to Spot Emotional Distress
A new hybrid AI framework combines biomedical language models, sentiment scoring, and ensemble learning to detect emotional vulnerability in cancer ...
A new hybrid AI framework combines biomedical language models, sentiment scoring, and ensemble learning to detect emotional vulnerability in cancer ...
A new study combining deep learning facial sentiment analysis with statistical text modeling finds that housing policy announcers' facial expressions ...
A new study combining TextBlob sentiment analysis and SPSS statistics of Instagram news comments finds that positively rated headlines attract ...
A large corpus study of Indonesian reveals that animal idioms are highly figurative, moderately frequent, and overwhelmingly negative in sentiment, ...
Two smartphone cradles on Mexico's Sisal Pier let tourists and residents generate survey-grade shoreline data, hurricane impact records, beach crowd ...
A text-mining study of nearly 29,000 social media posts reveals sharply different public sentiment toward Beijing 798, Hangzhou Xiangshan Art ...
Researchers have developed an NLP-based Sentiment–Substance Indicator that measures the alignment between optimistic environmental language and concrete strategy reporting in ...
A new PLOS Complex Systems study comparing X and Wikipedia during the Russian invasion of Ukraine shows that platform architecture, ...
A new hybrid deep learning model tuned by a snake-inspired optimization algorithm achieves 98.13 percent accuracy in classifying sentiment from ...
Researchers have built a deep learning model that fuses stock prices, technical indicators, financial news sentiment, and dynamically updated inter-stock ...
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© 2025 Scienmag - Science Magazine