AIMC Topic: Semantics

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Natural language processing reveals network structure of pain communication in social media using discrete mathematical analysis.

Scientific reports Aug 9, 2025
Pain-related discussions on social media provide valuable insights into how people naturally express and communicate their pain experiences. However, the network structure of these discussions remains poorly understood. This study analyzed 57,000 Red...
Humans Natural Language Processing Pain Semantics Communication Social Media
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Features extraction based on Naive Bayes algorithm and TF-IDF for news classification.

PloS one Jul 30, 2025
The rapid proliferation of online news demands robust automated classification systems to enhance information organization and personalized recommendation. Although traditional methods like TF-IDF with Naive Bayes provide foundational solutions, thei...
Semantics Natural Language Processing Bayes Theorem Humans Machine Learning Algorithms
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Semantic classification of Indonesian consumer health questions.

Journal of biomedical semantics Jul 28, 2025
PURPOSE: Online consumer health forums serve as a way for the public to connect with medical professionals. While these medical forums offer a valuable service, online Question Answering (QA) forums can struggle to deliver timely answers due to the l...
Consumer Health Information Indonesia Semantics Humans Machine Learning
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A natural language processing approach to support biomedical data harmonization: Leveraging large language models.

PloS one Jul 24, 2025
BACKGROUND: Biomedical research requires large, diverse samples to produce unbiased results. Retrospective data harmonization is often used to integrate existing datasets to create these samples, but the process is labor-intensive. Automated methods ...
Language Biomedical Research Humans Alzheimer Disease Semantics Large Language Models Natural Language Processing Japan
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Semantic web-based ontology: a comprehensive framework for cardiovascular knowledge representation.

BMC cardiovascular disorders Jul 18, 2025
In the healthcare industry, the Semantic Web offers to manage a huge amount of medical data which is machine-readable and machine-understandable as well. This domain incorporates ontologies, linked data, and semantic web technologies to promote healt...
Semantic Web Knowledge Bases Semantics Biological Ontologies Terminology as Topic Cardiovascular Diseases Internet Humans
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A method for English paragraph grammar correction based on differential fusion of syntactic features.

PloS one Jul 16, 2025
The new progress of deep learning and natural language processing technology has strongly promoted the development of English grammar error correction. However, the existing methods mostly rely on large-scale corpus, and often ignore the fine syntact...
Linguistics Humans Language Natural Language Processing Semantics Deep Learning
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Random access and semantic search in DNA data storage enabled by Cas9 and machine-guided design.

Nature communications Jul 10, 2025
DNA is a promising medium for digital data storage due to its exceptional data density and longevity. Practical DNA-based storage systems require selective data retrieval to minimize decoding time and costs. In this work, we introduce CRISPR-Cas9 as ...
Machine Learning Sequence Analysis, DNA DNA CRISPR-Cas Systems Information Storage and Retrieval Semantics CRISPR-Associated Protein 9
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A semi supervised framework for human and machine collaboration in computer assisted text refinement.

Scientific reports Jul 7, 2025
Human writing often exhibits a range of styles and levels of sophistication. However, automated text generation systems typically lack the nuanced understanding required to produce refined and elegant prose. Due to the inherent one-to-many relationsh...
Semantics Humans Natural Language Processing
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Predicting semantic segmentation quality in laryngeal endoscopy images.

PloS one Jul 3, 2025
Endoscopy is a major tool for assessing the physiology of inner organs. Contemporary artificial intelligence methods are used to fully automatically label medical important classes on a pixel-by-pixel level. This so-called semantic segmentation is fo...
Laryngoscopy Algorithms Larynx Image Processing, Computer-Assisted Humans Semantics Artificial Intelligence
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Deep learning strategies for semantic segmentation of pediatric brain tumors in multiparametric MRI.

Scientific reports Jul 2, 2025
Automated segmentation of pediatric brain tumors (PBTs) can support precise diagnosis and treatment monitoring, but it is still poorly investigated in literature. This study proposes two different Deep Learning approaches for semantic segmentation of...
Deep Learning Semantics Brain Neoplasms Child, Preschool Male Glioma Multiparametric Magnetic Resonance Imaging Child Humans Magnetic Resonance Imaging Image Processing, Computer-Assisted Female
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