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.
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Use this if you need to classify large text datasets based on character-level patterns, rather than full words or phrases.
Not ideal if your classification task relies heavily on semantic meaning of words or if you have limited computational resources (especially GPU memory).
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Python
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MIT
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Dec 26, 2021
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