shawroad/Text-Classification-Pytorch
Summary and comparison of Chinese classification models
This project helps classify Chinese text documents into predefined categories, such as news topics (e.g., travel, finance) or app descriptions (e.g., navigation, shopping). You provide raw Chinese text, and it outputs the most relevant category. This is useful for anyone working with large volumes of Chinese text data who needs to automatically sort or categorize it.
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Use this if you need to automatically classify Chinese short texts like news headlines or long texts like app descriptions into specific categories, and you're looking for a comparison of different model performances.
Not ideal if your text data is not in Chinese or if you need to perform other natural language processing tasks beyond classification.
Stars
37
Forks
5
Language
Python
License
Apache-2.0
Last pushed
Nov 07, 2022
Commits (30d)
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