NLP基本知识点和模型

word2vec：https://www.jianshu.com/p/471d9bfbd72f
基于Hierarchical Softmax: https://www.cnblogs.com/pinard/p/7243513.html
基于Negative Sampling：https://www.cnblogs.com/pinard/p/7249903.html

Glove：https://blog.csdn.net/u014665013/article/details/79642083

fasttext：
https://zhuanlan.zhihu.com/p/32965521
https://blog.csdn.net/feilong_csdn/article/details/88655927

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

ELMO：
https://blog.csdn.net/qq_33373858/article/details/85063767
https://blog.csdn.net/triplemeng/article/details/82380202?depth_1-utm_source=distribute.pc_relevant.none-task-blog-BlogCommendFromBaidu-3&utm_source=distribute.pc_relevant.none-task-blog-BlogCommendFromBaidu-3

Bert：https://blog.csdn.net/libaominshouzhang/article/details/102995213

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

XLNET
https://www.zhihu.com/search?type=content&q=two stream self attention

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/