liyibo/text-classification-demos
Neural models for Text Classification in Tensorflow, such as cnn, dpcnn, fasttext, bert ...
This project helps classify Chinese text into predefined categories, such as 'sports' or 'finance'. You input raw Chinese text documents, and it outputs a classification label for each document. It is useful for anyone who needs to automatically sort or categorize large volumes of Chinese news articles, reports, or other textual content.
193 stars. No commits in the last 6 months.
Use this if you need to automatically categorize Chinese text and want to compare different neural network models for performance.
Not ideal if your classification task requires highly specialized word segmentation beyond character-based methods, or if you are not working with Chinese text.
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193
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Language
Python
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Last pushed
Mar 25, 2019
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