AIMC Topic: Social Media

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Sentiment Analysis of Image with Text Caption using Deep Learning Techniques.

Computational intelligence and neuroscience Jun 25, 2022
People are actively expressing their views and opinions via the use of visual pictures and text captions on social media platforms, rather than just publishing them in plain text as a consequence of technical improvements in this field. With the adve...
Data Collection Deep Learning Social Media Sentiment Analysis Humans
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From YouTube to the brain: Transfer learning can improve brain-imaging predictions with deep learning.

Neural networks : the official journal of the International Neural Network Society Jun 18, 2022
Deep learning has recently achieved best-in-class performance in several fields, including biomedical domains such as X-ray images. Yet, data scarcity poses a strict limit on training successful deep learning systems in many, if not most, biomedical ...
Humans Brain Deep Learning Neural Networks, Computer Intelligence Social Media
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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 Social Networking Social Media Emotions Learning Sentiment Analysis
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Deep Learning Approaches for Cyberbullying Detection and Classification on Social Media.

Computational intelligence and neuroscience Jun 11, 2022
As a result of the ease with which the internet and cell phones can be accessed, online social networks (OSN) and social media have seen a significant increase in popularity in recent years. Security and privacy, on the other hand, are the key concer...
Deep Learning Humans Algorithms Cell Phone Cyberbullying Social Media
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Joint Stance and Rumor Detection in Hierarchical Heterogeneous Graph.

IEEE transactions on neural networks and learning systems Jun 1, 2022
Recently, large volumes of false or unverified information (e.g., fake news and rumors) appear frequently in emerging social media, which are often discussed on a large scale and widely disseminated, causing bad consequences. Many studies on rumor de...
Social Media Neural Networks, Computer Humans
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Social impact and governance of AI and neurotechnologies.

Neural networks : the official journal of the International Neural Network Society May 21, 2022
Advances in artificial intelligence (AI) and brain science are going to have a huge impact on society. While technologies based on those advances can provide enormous social benefits, adoption of new technologies poses various risks. This article fir...
Artificial Intelligence Social Change Humans Social Media
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Aspect Based Twitter Sentiment Analysis on Vaccination and Vaccine Types in COVID-19 Pandemic With Deep Learning.

IEEE journal of biomedical and health informatics May 5, 2022
Due to the COVID-19 pandemic, vaccine development and community vaccination studies are carried out all over the world. At this stage, the opposition to the vaccine seen in the society or the lack of trust in the developed vaccine is an important fac...
Deep Learning COVID-19 Vaccines SARS-CoV-2 Sentiment Analysis Social Media Vaccination Humans COVID-19 Pandemics
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An Improved BERT and Syntactic Dependency Representation Model for Sentiment Analysis.

Computational intelligence and neuroscience May 5, 2022
Text representation of social media is an important task for users' sentiment analysis. Utilizing the better representation, we can accurately acquire the real semantic information expressed by online users. However, existing works cannot achieve the...
Semantics Humans Sentiment Analysis Language Social Media
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English Text Recognition Deep Learning Framework to Automatically Identify Fake News.

Computational intelligence and neuroscience Apr 28, 2022
Fake news spreading rapidly worldwide is considered one of the most severe problems of modern technology that needs to be addressed immediately. The remarkable increase in the use of social media as a critical source of information combined with the ...
Reproducibility of Results Humans Disinformation Communication Social Media Deep Learning
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Process-Driven Modelling of Media Forensic Investigations-Considerations on the Example of DeepFake Detection.

Sensors (Basel, Switzerland) Apr 20, 2022
Academic research in media forensics mainly focuses on methods for the detection of the traces or artefacts left by media manipulations in media objects. While the resulting detectors often achieve quite impressive detection performances, when tested...
Forensic Medicine Social Media Videotape Recording Intention Neural Networks, Computer
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