AIMC Topic: Social Networking

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A New Consensus Model Based on Trust Interactive Weights for Intuitionistic Group Decision Making in Social Networks.

IEEE transactions on cybernetics Nov 18, 2022
A promising feature for group decision making (GDM) lies in the study of the interaction between individuals. In conventional GDM research, experts are independent. This is reflected in the setting of preferences and weights. Nevertheless, each exper...
Male Trust Female Decision Making Social Networking Fuzzy Logic Consensus Humans
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Semisupervised neural biomedical sense disambiguation approach for aspect-based sentiment analysis on social networks.

Journal of biomedical informatics Oct 25, 2022
Patient narratives on social networks contain large amounts of objective information, such as the descriptions of examinations and interventions. Sentiment analysis (SA) models are mostly used to evaluate the conveyed sentiments by patients in these ...
Social Networking Algorithms Vocabulary, Controlled Medical Subject Headings Sentiment Analysis Humans
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Security Analysis of Social Network Topic Mining Using Big Data and Optimized Deep Convolutional Neural Network.

Computational intelligence and neuroscience Sep 23, 2022
This research aims to conduct topic mining and data analysis of social network security using social network big data. At present, the main problem is that users' behavior on social networks may reveal their private data. The main contribution lies i...
Social Networking Algorithms Big Data Neural Networks, Computer
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A Graph-Neural-Network-Based Social Network Recommendation Algorithm Using High-Order Neighbor Information.

Sensors (Basel, Switzerland) Sep 20, 2022
Social-network-based recommendation algorithms leverage rich social network information to alleviate the problem of data sparsity and boost the recommendation performance. However, traditional social-network-based recommendation algorithms ignore hig...
Algorithms Learning Neural Networks, Computer Records Social Networking
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CAMU: Cycle-Consistent Adversarial Mapping Model for User Alignment Across Social Networks.

IEEE transactions on cybernetics Sep 19, 2022
The user alignment problem that establishes a correspondence between users across networks is a fundamental issue in various social network analyses and applications. Since symbolic representations of users suffer from sparsity and noise when computi...
Machine Learning Social Networking
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Grading Nursing Care Study in Integrated Medical and Nursing Care Institution Based on Two-Stage Gray Synthetic Clustering Model under Social Network Context.

International journal of environmental research and public health Aug 31, 2022
Establishing a scientific and sustainable grading nursing care evaluation system is the key to realizing the rational distribution of medical and nursing resources in the combined medical and nursing care services. This study establishes a grading nu...
Health Facilities Social Networking Social Environment Fuzzy Logic Cluster Analysis Humans Aged
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Language-agnostic deep learning framework for automatic monitoring of population-level mental health from social networks.

Journal of biomedical informatics Jul 28, 2022
In many countries, mental health issues are among the most serious public health concerns. National mental health statistics are frequently collected from reported patient cases or government-sponsored surveys, which have restricted coverage, frequen...
Natural Language Processing Social Networking Mental Health Social Media Humans Deep Learning
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Let's (Tik) Talk About Fitness Trends.

Frontiers in public health Jul 11, 2022
Several factors that follow the development of society affect physical inactivity, which primarily includes the development of technology and digitalization and the increasing choice of unhealthy lifestyle habits. However, certain shifts in the fitne...
Social Media Sedentary Behavior Exercise Humans Artificial Intelligence Social Networking
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BMT-Net: Broad Multitask Transformer Network for Sentiment Analysis.

IEEE transactions on cybernetics Jul 4, 2022
Sentiment analysis uses a series of automated cognitive methods to determine the author's or speaker's attitudes toward an expressed object or text's overall emotional tendencies. In recent years, the growing scale of opinionated text from social net...
Humans Natural Language Processing Learning Sentiment Analysis Social Networking
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Cross-Scale Residual Network: A General Framework for Image Super-Resolution, Denoising, and Deblocking.

IEEE transactions on cybernetics Jul 4, 2022
In general, image restoration involves mapping from low-quality images to their high-quality counterparts. Such optimal mapping is usually nonlinear and learnable by machine learning. Recently, deep convolutional neural networks have proven promising...
Image Processing, Computer-Assisted Machine Learning Social Networking Neural Networks, Computer
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