Beijing study links heat wave emotions to urban environment
A study in Beijing reveals that heat waves impact residents' emotions differently across the city, with suburban areas showing more ...
Tag: sentiment analysis
Deep Learning System Unifies Sentiment Analysis and User Profiling from Reviews
A joint deep learning framework called J-SUP unifies aspect-based sentiment analysis and consumer preference profiling within a shared Transformer architecture ...
Quantum-Inspired AI Model Claims 99.9% Accuracy in Sentiment-Driven Product Recommendations
A new study reports a quantum-inspired recommendation system combining fuzzy clustering, generative adversarial networks, and a dandelion-based optimizer that achieved ...
Reddit Posts on Tamoxifen Highlight Side Effects and Patient Support Concerns
A cross-sectional study of Reddit discussions found that side effects were the most common topic among patients sharing experiences with ...
Cyclostationary Signal Modeling Enhances Multilingual BERT Sentiment Analysis Accuracy
Modeling text embeddings as cyclostationary sequences improves BERT-based multilingual sentiment analysis accuracy by up to 28% across five diverse datasets.
Two-Stage Text Augmentation and Dual-Expert AI Model Reaches 98.5% Accuracy on Imbalanced Twitter Sentiment Data
A dual-expert framework combining paraphrase-based augmentation and aspect tokenization reached 98.5% accuracy on the imbalanced Twitter US-Airline Sentiment dataset, outperforming ...
NLP analysis of student feedback reveals teaching quality concerns in the DRC
Researchers applied sentiment analysis and topic modeling to survey responses from 378 computer science students at 18 institutions in the ...
Compact audio-visual AI reads sentiment from live video with 84.89% accuracy
A lightweight CNN-LSTM framework classifies negative, neutral, and positive sentiment from live video at 84.89 percent accuracy on RAVDESS, outperforming ...
AI deception detectors stumble when synthetic training meets real-world stress
A study of military training interviews found that machine learning models trained on synthetic deception data collapsed on real-world speech, ...
Six AI models read thousands of cancer narratives and mostly disagree on what they feel
A multi-model NLP study of more than 200 online cancer narrative sources found negative sentiment dominated diagnosis and treatment discourse, ...
Dual-Channel AI Model Links Sentiment, Performance and Educational Tool Adoption
A dual-channel machine-learning framework combined sentiment, academic performance and engagement data to predict educational AI adoption, learning gains and personalized ...
Supervised meta-model improves human alignment of Arabic AI explanations
A study of 303 Arabic hotel reviews found that a supervised CatBoost meta-model matched human-selected words better than standard XAI ...
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 ...
Multimodal model links tourist images, reviews and ratings to satisfaction
A multimodal machine-learning system combining tourist images, reviews and ratings achieved 97.68% accuracy on a balanced benchmark while identifying comfort ...
Research report: Artificial intelligence-based analysis of digital media engagement and user sentiment using machine learning techniques
A new leakage-controlled machine learning framework achieves strong sentiment classification on social media data while revealing that engagement prediction collapses ...
Projection-based KNN variants improve sentiment classification on small datasets
A computational study of six sentiment-analysis datasets found that OPIKNN and FOPIKNN improved average accuracy and macro F1-score over standard ...
Autoencoder clustering boosts federated sentiment analysis under label skew
A transformer-autoencoder method that groups federated clients without labels improved sentiment-classification accuracy across controlled label-skew conditions on Sentiment140 and IMDB.
What Patients Really Notice: Online Reviews Reveal the Hidden Side of Hospital Care
A new text-mining study of online hospital reviews shows that patients judge medical care primarily on service attitude, convenience, and ...
AI Reads Literature Like a Critic: SymbolFusion Maps Symbols and Emotions in Poetry and Prose
A new neuro-symbolic framework called SymbolFusion applies explicit literary relation constraints to graph learning, achieving state-of-the-art performance in modeling symbolic ...
When Every Second Counts: Text Mining Reveals What Weighs Most on Nurses’ Minds
A text mining study of 1,650 South Korean nurses reveals that concurrent task demands, patient flow, and communication load drive ...
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