AIMC Topic: 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 Learning Natural Language Processing Social Networking Sentiment Analysis
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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...
Neural Networks, Computer Machine Learning Image Processing, Computer-Assisted Social Networking
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Student Education Management Strategy Based on Artificial Intelligence Information Model under the Support of 5G Wireless Network.

Computational intelligence and neuroscience Jul 1, 2022
With the popularity of the Internet and the advancement of information technology, more and more people are accepting the teaching and sharing of knowledge through the digitalization of information. The widespread adoption of 5G technology has pushed...
Humans Artificial Intelligence Learning Students Knowledge Social Networking
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Research on Online Social Network Information Leakage-Tracking Algorithm Based on Deep Learning.

Computational intelligence and neuroscience Jun 28, 2022
The rapid iteration of information technology makes the development of online social networks increasingly rapid, and its corresponding network scale is also increasingly large and complex. The corresponding algorithms to deal with social networks an...
Neural Networks, Computer Algorithms Deep Learning Privacy Social Networking
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Visual Sentiment Analysis With Social Relations-Guided Multiattention Networks.

IEEE transactions on cybernetics Jun 16, 2022
These days, social media users tend to express their feelings through sharing images online. Capturing the emotions embedded in these social images involves great research challenges and practical values. Most existing works concentrate on extracting...
Humans Learning Emotions Social Media Social Networking Sentiment Analysis
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Preserving the Privacy of Healthcare Data over Social Networks Using Machine Learning.

Computational intelligence and neuroscience May 5, 2022
A key challenge in clinical recommendation systems is the problem of aberrant patient profiles in social networks. As a result of a person's abnormal profile, numerous vests might be used to make fake remarks about them, cyber bullying, or cyber-atta...
Humans Machine Learning Algorithms Delivery of Health Care Privacy Social Networking
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Detection Anomaly in Video Based on Deep Support Vector Data Description.

Computational intelligence and neuroscience May 4, 2022
Video surveillance systems have been widely deployed in public places such as shopping malls, hospitals, banks, and streets to improve the safety of public life and assets. In most cases, how to detect video abnormal events in a timely and accurate m...
Humans Neural Networks, Computer Social Networking
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A Rumor Detection Method from Social Network Based on Deep Learning in Big Data Environment.

Computational intelligence and neuroscience Mar 28, 2022
Aiming at the lack of feature extraction ability of rumor detection methods based on the deep learning model, this study proposes a rumor detection method based on deep learning in social network big data environment. Firstly, the scheme of combining...
Deep Learning Big Data Social Networking
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Artificial Intelligence-Based Approach for Misogyny and Sarcasm Detection from Arabic Texts.

Computational intelligence and neuroscience Mar 26, 2022
Social media networking is a prominent topic in real life, particularly at the current moment. The impact of comments has been investigated in several studies. Twitter, Facebook, and Instagram are just a few of the social media networks that are used...
Humans Artificial Intelligence Social Media Social Networking
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Detection of Types of Mental Illness through the Social Network Using Ensembled Deep Learning Model.

Computational intelligence and neuroscience Mar 26, 2022
In today's era, social networking platforms are widely used to share emotions. These types of emotions are often analyzed to predict the user's behavior. In this paper, these types of sentiments are classified to predict the mental illness of the use...
Humans Neural Networks, Computer Mental Disorders Deep Learning Social Networking
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