word2vec：https://www.jianshu.com/p/471d9bfbd72f
基於Hierarchical Softmax: https://www.cnblogs.com/pinard/p/7243513.html
基於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:
加載預訓練詞典：https://blog.csdn.net/nlpuser/article/details/83627709
構建textcnn網絡：https://blog.csdn.net/qq_25037903/article/details/85058217
textcnn的標准寫法：https://github.com/dennybritz/cnn-text-classification-tf 幾千星但是tf版
pytorch版本：https://github.com/Shawn1993/cnn-text-classification-pytorch
深度可分離卷積：https://cloud.tencent.com/developer/article/1453992
Capsule網絡：
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:
參考一：https://blog.csdn.net/hahajinbu/article/details/81940355
參考二：https://blog.csdn.net/qq_41664845/article/details/84969266
XLNET
https://www.zhihu.com/search?type=content&q=two stream self attention
github上現成的文本分類模型：
各種現成的模型：https://github.com/brightmart/text_classification
文本分類的survey：https://github.com/kk7nc/Text_Classification
經典論文的復現：https://github.com/TobiasLee/Text-Classification
最近5年情感分類算法綜述：
http://www.pianshen.com/article/9614611806/