pytorch-sentiment-analysis-classification
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slaysd
A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)
I added this code to try predict a sentence: `def predict_sentiment(model, sentence, dataset): nlp = spacy.load('en_core_web_sm') dataset = MyDataset(batch_size=1) tokenized = [tok.text for tok in nlp.tokenizer(sentence)] indexed = [dataset.TEXT.vocab.stoi[t] for...
tensorboardx argparse spacy torch torchtext==0.6.0 I use pip install requrement.txt, but can not run your code. Could you give more details about the version of the above tools?
as title What should I do if I want to use this for regression problems, such as for the ETTh1. csv dataset
