Shypd.aiThe largest open index of AI toolscnn-text-classification-pytorch is a Coding & Development tool that implements Convolutional Neural Networks for Sentence Classification in PyTorch. It provides a robust framework for text classification tasks, consistent with Kim's paper.
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cnn-text-classification-pytorch is an open-source implementation of Convolutional Neural Networks (CNNs) for sentence classification, built using PyTorch. This tool is based on the model described in Kim's influential paper on CNNs for Sentence Classification. It offers a practical framework for developers to perform text classification tasks, providing consistent results with the original research. The implementation has been updated to be compatible with modern PyTorch versions (2.0+), removing deprecated dependencies like `torchtext` and fixing various runtime errors. It supports datasets like MR and SST, includes options for different optimizers (Adam, Adadelta), and allows for easy training, testing, and prediction of text sentiment.
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