This project forked from lisennlp/sentiment
TPU + GPU，基于疫情期间网民微博评论的情感分析项目
情感分析项目，即文本分类任务
代码：python==3.6.9，基于google的TPU v3-8
数据：疫情期间网民的微博相关状态评论，共计10万标记数据，90万未标记数据，1万测试数据
数据文件名train.txt，dev.txt
数据格式：
__label__0 今天感冒了，怎么办？
__label__1 今天感冒了，怎么办？
__label__2 今天感冒了，怎么办？
框架：torch-xla-nightly
预训练模型：chinese_roberta_wwm_ext_pytorch
sh script/run.sh
1、fasttext : f1 50
存在预测偏重中性分类，其余两类召回率接近于0
2、bert
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