Abstract: This study provides a comparative evaluation of transformer models and Recurrent Neural Networks (RNNs) for text classification. As the complexity of the text data is growing and more ...
Abstract: Real-world applications have produced massive short text streams. Contrary to the traditional normal texts, they present the characteristics such as short length, only having few labeled ...