textcnn:
加载预训练词典:https://blog.csdn.net/nlpuser/article/details/83627709
构建textcnn网络:https://blog.csdn.net/qq_25037903/article/details/85058217
textcnn的标准写法:https://github.com/dennybritz/cnn-text-classification-tf 几千星但是tf版
pytorch版本:https://github.com/Shawn1993/cnn-text-classification-pytorch
深度可分离卷积:https://cloud.tencent.com/developer/article/1453992
Capsule网络:
https://spaces.ac.cn/archives/4819
https://www.cnblogs.com/CZiFan/p/9803067.html
https://blog.csdn.net/u013010889/article/details/78722140
https://www.zhihu.com/question/67287444/answer/251460831
大规模预训练模型:bert和xlnet
attention和transformer:
参考一:https://blog.csdn.net/hahajinbu/article/details/81940355
参考二:https://blog.csdn.net/qq_41664845/article/details/84969266
github上现成的文本分类模型:
各种现成的模型:https://github.com/brightmart/text_classification
文本分类的survey:https://github.com/kk7nc/Text_Classification
经典论文的复现:https://github.com/TobiasLee/Text-Classification
最近5年情感分类算法综述:
http://www.pianshen.com/article/9614611806/