joshuaWang-bit/Textclassification-pytorch
练习, 基于torchtext，huggingface，pytorch，在一个中文多分类任务和一个英文二分类任务上实验了TextCNN，BERT和XLnet三个模型。
This project helps data scientists and NLP practitioners compare different text classification models on both Chinese and English datasets. It takes raw text data, such as news articles, and outputs classified categories or binary predictions. You would use this if you need to quickly evaluate the performance of models like TextCNN, BERT, and XLNet for text categorization tasks.
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Use this if you are a data scientist or machine learning engineer experimenting with different deep learning models for text classification and need a benchmark for Chinese or English text.
Not ideal if you are a business user looking for a ready-to-use text classification application without deep learning model experimentation.
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Nov 06, 2021
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