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Text classification using deep learning models in Pytorch

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Running the ``main.py`` got the error: ``` C:\Python36\python.exe I:/github_repos/Text-Classification-Pytorch/main.py Traceback (most recent call last): File "I:/github_repos/Text-Classification-Pytorch/main.py", line 11, in TEXT, vocab_size, word_embeddings, train_iter, valid_iter, test_iter = load_data.load_dataset() File "I:\github_repos\Text-Classification-Pytorch\load_data.py", line...

Would you please add the reference for the implementation details of the attention layer?

I will complete a Chinese emotion analysis task. Can this project complete the task of Chinese emotion analysis?

On lines 63 and 73 of `Text-Classification-Pytorch/models/RCNN.py `, function `permute` is used. ``` input = input.permute(1, 0, 2) # input.size() = (num_sequences, batch_size, embedding_length) ... y = y.permute(0, 2, 1)...

Hi I am trying to use the models u implemented with bert embedding for Arabic language but I am getting very low accuracy. So I am wondering if I am...

Hi, why are you using Conv2d module? The author in the paper uses to 1D convolutions. Thanks, Pablo