Character-level-cnn-pytorch and Character-level-cnn-tensorflow
These are competitors, offering the same Character-level CNN for text classification implemented using PyTorch and TensorFlow, respectively, requiring a user to choose one deep learning framework.
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 Character-level-cnn-tensorflow
vietnh1009/Character-level-cnn-tensorflow
Character-level CNN for text classification
This tool helps categorize text documents like news articles or product reviews into predefined groups, even when dealing with very short or informal text. You provide your raw text data, and it classifies each piece, telling you what category it belongs to. This is useful for data analysts, content managers, or anyone needing to sort large volumes of text efficiently.
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