Sarcasm detection model
Sarcasm detection model using a 1D CNN with an embedding layer, a global average pooling layer, and two dense layers
Sarcasm detection model using a 1D CNN with an embedding layer, a global average pooling layer, and two dense layers
In my personal project focusing on cancer detection, I developed a Convolutional Neural Network (CNN) model that demonstrates promising accuracy exceeding 96%. Next step will be refining the model’s performance by integrating k-fold cross-validation and hyperparameter tuning techniques, aiming to enhance its efficacy in real-world scenarios.