Character-level-cnn-pytorch and Char-level-CNN-for-Text-Classification-in-Keras
These tools are competitors, as they both implement character-level CNNs for text classification but use different deep learning frameworks, PyTorch and Keras respectively, requiring a user to choose one based on their preferred library.
About Character-level-cnn-pytorch
vietnh1009/Character-level-cnn-pytorch
Character-level CNN for text classification
This project helps classify text documents into predefined categories, like sorting news articles by topic or categorizing customer reviews by sentiment. You input raw text data, and it outputs a classification for each document. This is for data scientists or researchers who need to automatically categorize large volumes of text.
About Char-level-CNN-for-Text-Classification-in-Keras
blues-lin/Char-level-CNN-for-Text-Classification-in-Keras
Character-level Convolution Neural Network for Text Classification in Keras
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