A CNN-based system for automatic COVID-19 detection from medical imaging, designed as a graduation project to demonstrate deep learning applications in healthcare.
BERT-CNN and XLnet-CNN
In this paper, the Deep Convolutional Neural Networks (ConvNet) have been integrated to build an efficient and automated classification system for the Covid-19 vaccine-related tweets. The system can help to get the most relevant information about the people's opinions related to the vaccine. Several experiments using manually annotated 15,000 tweets about the vaccine have been conducted, and it has been observed that the developed system has the ability to obtain quite good performance.
Environment : VSCode,Google Colab
Libraries used : TensorFlow, Transformers,Pandas, Numpy, Matplotlib
15.000 Tweets related to Covid-19 vaccine