The aim of this repository is to show a baseline model for text classification through convolutional neural networks in the PyTorch framework. The architecture implemented in this model was inspired ...

Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0 - cmasch/cnn-text-classification. ... I also used pre-trained embedding GloVe with 300 dimensional ...

Multi-level attention models are integrated into an end-to-end trainable CNN-RNN architecture for highlighting the meaningful text words and image regions. We first apply TieNet to classify the chest ...

Text classification is one of key tasks for representing the semantic information of documents. There have been a lot of studies that applied Long Short-Term Memory (LSTM) to this task. This paper ...