fooSynaptic/BERTClassfier
BERT trial for chinese corpus classfication
This is a developer tool for creating custom text classification systems for Chinese language data. It takes your labeled Chinese text (like customer feedback, news articles, or survey responses) and trains a specialized model. The output is a model capable of automatically categorizing new, unseen Chinese text based on your defined labels. It's intended for machine learning engineers or data scientists working with Chinese NLP.
Use this if you are a developer looking to fine-tune a BERT model for specific Chinese text classification tasks with your own datasets.
Not ideal if you need an out-of-the-box solution or do not have experience with Python, TensorFlow, and machine learning model training.
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Language
Python
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Last pushed
Mar 09, 2026
Commits (30d)
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