lonePatient/BERT-chinese-text-classification-pytorch
This repo contains a PyTorch implementation of a pretrained BERT model for text classification.
This project helps classify Chinese text into predefined categories, much like sorting news articles into 'sports' or 'finance.' You provide raw Chinese text data, and it outputs labels for each text, indicating its category. This is useful for data analysts, content managers, or researchers who need to automatically organize or understand large volumes of Chinese textual content.
109 stars. No commits in the last 6 months.
Use this if you need to automatically categorize or tag Chinese text data based on its content.
Not ideal if your text data is not in Chinese or if you need to perform other natural language processing tasks beyond classification.
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Python
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Last pushed
Aug 30, 2019
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