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Title: GitHub - molsonhan/text_classification: 使用rnn,lstm,gru,fasttext,textcnn,dpcnn,rnn-att,lstm-att,兼容huggleface/transformers,以及以transforemrs作为词嵌入模型,后面接入cnn、rnn、attention等等做文本分类。以及各个模型的对比

Open Graph Title: GitHub - molsonhan/text_classification: 使用rnn,lstm,gru,fasttext,textcnn,dpcnn,rnn-att,lstm-att,兼容huggleface/transformers,以及以transforemrs作为词嵌入模型,后面接入cnn、rnn、attention等等做文本分类。以及各个模型的对比

X Title: GitHub - molsonhan/text_classification: 使用rnn,lstm,gru,fasttext,textcnn,dpcnn,rnn-att,lstm-att,兼容huggleface/transformers,以及以transforemrs作为词嵌入模型,后面接入cnn、rnn、attention等等做文本分类。以及各个模型的对比

Description: 使用rnn,lstm,gru,fasttext,textcnn,dpcnn,rnn-att,lstm-att,兼容huggleface/transformers,以及以transforemrs作为词嵌入模型,后面接入cnn、rnn、attention等等做文本分类。以及各个模型的对比 - molsonhan/text_classification

Open Graph Description: 使用rnn,lstm,gru,fasttext,textcnn,dpcnn,rnn-att,lstm-att,兼容huggleface/transformers,以及以transforemrs作为词嵌入模型,后面接入cnn、rnn、attention等等做文本分类。以及各个模型的对比 - molsonhan/text_classification

X Description: 使用rnn,lstm,gru,fasttext,textcnn,dpcnn,rnn-att,lstm-att,兼容huggleface/transformers,以及以transforemrs作为词嵌入模型,后面接入cnn、rnn、attention等等做文本分类。以及各个模型的对比 - molsonhan/text_classification

Opengraph URL: https://github.com/molsonhan/text_classification

X: @github

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og:image:alt使用rnn,lstm,gru,fasttext,textcnn,dpcnn,rnn-att,lstm-att,兼容huggleface/transformers,以及以transforemrs作为词嵌入模型,后面接入cnn、rnn、attention等等做文本分类。以及各个模型的对比 - molsonhan/text_classification
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https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/QQ%E6%88%AA%E5%9B%BE20180116105758_%E5%89%AF%E6%9C%AC.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification#v2
https://patch-diff.githubusercontent.com/molsonhan/text_classification#features
huggingface/transformershttps://github.com/huggingface/transformers
https://patch-diff.githubusercontent.com/molsonhan/text_classification#目录结构
https://patch-diff.githubusercontent.com/molsonhan/text_classification#运行-或-使用自己data-training
https://patch-diff.githubusercontent.com/molsonhan/text_classification#项目介绍
github仓库https://github.com/jeffery0628/text_classification
cnews新闻数据https://pan.baidu.com/s/1OOTK374IZ1DHnz5COUcfbw
____文本多标签数据https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master
词向量https://github.com/Embedding/Chinese-Word-Vectors
中文预训练bert模型下载https://github.com/ymcui/Chinese-BERT-wwm
中文预训练XLNet下载https://github.com/ymcui/Chinese-XLNet
中文文本分类https://github.com/jeffery0628/text_classification
github.iohttps://jeffery0628.github.io/
https://patch-diff.githubusercontent.com/molsonhan/text_classification#简介
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/595c46f937d92.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification#方法
https://patch-diff.githubusercontent.com/molsonhan/text_classification#基于机器学习的文本分类
https://patch-diff.githubusercontent.com/molsonhan/text_classification#特征工程
https://patch-diff.githubusercontent.com/molsonhan/text_classification#文本预处理
https://patch-diff.githubusercontent.com/molsonhan/text_classification#特征提取
https://patch-diff.githubusercontent.com/molsonhan/text_classification#文本表示
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/image-20200520093625468.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification#词袋法
https://patch-diff.githubusercontent.com/molsonhan/text_classification#n-gram-词袋模型
https://patch-diff.githubusercontent.com/molsonhan/text_classification#向量空间模型
https://patch-diff.githubusercontent.com/molsonhan/text_classification#分类器
https://patch-diff.githubusercontent.com/molsonhan/text_classification#基于深度学习的文本分类
https://patch-diff.githubusercontent.com/molsonhan/text_classification#fasttext
https://patch-diff.githubusercontent.com/molsonhan/text_classification#简介-1
论文地址https://arxiv.org/pdf/1607.01759.pdf
https://patch-diff.githubusercontent.com/molsonhan/text_classification#fasttext模型架构
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/image-20200520093324964.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/image-20200520093359191.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification#缺点
https://patch-diff.githubusercontent.com/molsonhan/text_classification#模型代码
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/FastText_network_structure.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification#textcnn
https://patch-diff.githubusercontent.com/molsonhan/text_classification#简介-2
(2014 EMNLP) Convolutional Neural Networks for Sentence Classificationhttps://arxiv.org/abs/1408.5882
https://patch-diff.githubusercontent.com/molsonhan/text_classification#网络结构
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/textcnn.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification#原理
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/textcnndetail.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification#缺点-1
https://patch-diff.githubusercontent.com/molsonhan/text_classification#代码
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/TextCNN_network_structure.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification#dpcnn
https://patch-diff.githubusercontent.com/molsonhan/text_classification#简介-3
DPCNNhttps://ai.tencent.com/ailab/media/publications/ACL3-Brady.pdf
https://patch-diff.githubusercontent.com/molsonhan/text_classification#网络结构-1
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/DPCNN.jpg
https://patch-diff.githubusercontent.com/molsonhan/text_classification#region-embedding
https://patch-diff.githubusercontent.com/molsonhan/text_classification#卷积和全连接的权衡
https://patch-diff.githubusercontent.com/molsonhan/text_classification#等长卷积
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/equal_cnn.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification#固定feature-map的数量
https://patch-diff.githubusercontent.com/molsonhan/text_classification#池化
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/dpcnn_pooling.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification#残差连接
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/dpcnn_resnet.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification#代码-1
https://patch-diff.githubusercontent.com/molsonhan/text_classification#rnn系列
https://patch-diff.githubusercontent.com/molsonhan/text_classification#rnn
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/rnn.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/birnn.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification#lstm
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/lstm_c.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification#遗忘门
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/lstm_forget_gate.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification#输入门
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/input_gate.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification#输出门
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/output_gate.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification#公式
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/lstm_all.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification#gru
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/GRU.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification#代码-2
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/TextBiRNN_network_structure.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification#self-attention
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/self-attention.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification#rnn-attenton
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/TextAttBiRNN_network_structure.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification#textrcnn
https://patch-diff.githubusercontent.com/molsonhan/text_classification#简介-4
RCNNhttp://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/download/9745/9552
https://patch-diff.githubusercontent.com/molsonhan/text_classification#模型结构
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/rcnn.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification#word-representation-learning
https://patch-diff.githubusercontent.com/molsonhan/text_classification#text-representation-learning
https://patch-diff.githubusercontent.com/molsonhan/text_classification#代码-3
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/RCNN_network_structure.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification#han
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/HAN.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification#词序列编码器
https://patch-diff.githubusercontent.com/molsonhan/text_classification#词级的注意力层
https://patch-diff.githubusercontent.com/molsonhan/text_classification#句子编码器
https://patch-diff.githubusercontent.com/molsonhan/text_classification#句子级注意力层
https://patch-diff.githubusercontent.com/molsonhan/text_classification#分类
https://patch-diff.githubusercontent.com/molsonhan/text_classification#代码-4
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/HAN_network_structure.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification#bert
https://patch-diff.githubusercontent.com/molsonhan/text_classification#bert-1
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/bert_gpt_elmo.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification#task-1-mlm
https://patch-diff.githubusercontent.com/molsonhan/text_classification#task-2-nsp
https://patch-diff.githubusercontent.com/molsonhan/text_classification#输入
https://patch-diff.githubusercontent.com/molsonhan/text_classification#fine-tunninng
https://patch-diff.githubusercontent.com/molsonhan/text_classification#缺点-2
https://patch-diff.githubusercontent.com/molsonhan/text_classification#代码-5
https://patch-diff.githubusercontent.com/molsonhan/text_classification#bert-2
https://patch-diff.githubusercontent.com/molsonhan/text_classification#bertcnn
https://patch-diff.githubusercontent.com/molsonhan/text_classification#bertrnn
https://patch-diff.githubusercontent.com/molsonhan/text_classification#bertrcnn
https://patch-diff.githubusercontent.com/molsonhan/text_classification#xlnet
https://patch-diff.githubusercontent.com/molsonhan/text_classification#bert_configjson
https://patch-diff.githubusercontent.com/molsonhan/text_classification#对比
https://patch-diff.githubusercontent.com/molsonhan/text_classification#微博情感分类
https://patch-diff.githubusercontent.com/molsonhan/text_classification#数据
词向量下载https://github.com/Embedding/Chinese-Word-Vectors
中文预训练bert模型下载https://github.com/ymcui/Chinese-BERT-wwm
https://patch-diff.githubusercontent.com/molsonhan/text_classification#分析及比较
https://patch-diff.githubusercontent.com/molsonhan/text_classification#fasttexttextcnndpcnnrnnrnn-attentiontextrcnn
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/image-20200520140510805.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/image-20200520140848340.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/image-20200520135717244.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/image-20200520140931559.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification#rnnlstmgru
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/image-20200520144027325.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/image-20200520144139492.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification#bertbertcnnbertrnnbertrcnn
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/image-20200521150254593.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification#cnews新闻十分类结果比较
https://patch-diff.githubusercontent.com/molsonhan/text_classification#数据-1
cnewshttps://pan.baidu.com/s/1OOTK374IZ1DHnz5COUcfbw
黄蜂vs湖人图文直播室https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/%E6%96%B0%E6%B5%AA%E4%BD%93%E8%82%B2
https://patch-diff.githubusercontent.com/molsonhan/text_classification#分析比较
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/image-20200526204848210.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/image-20200526205351509.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/image-20200526205849399.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification/blob/master/text_classification/image-20200526210508245.png
https://patch-diff.githubusercontent.com/molsonhan/text_classification#文本多标签分类
https://patch-diff.githubusercontent.com/molsonhan/text_classification#分析
https://patch-diff.githubusercontent.com/molsonhan/text_classification#长短文本分类的比较
https://patch-diff.githubusercontent.com/molsonhan/text_classification#为什么长文本分类的实验中cnn-和-rnn-没有拉开差距
https://patch-diff.githubusercontent.com/molsonhan/text_classification#文本分类tricks
https://patch-diff.githubusercontent.com/molsonhan/text_classification#分词器
https://patch-diff.githubusercontent.com/molsonhan/text_classification#已知预训练词向量的分词器
https://patch-diff.githubusercontent.com/molsonhan/text_classification#不知道预训练词向量的分词器
https://patch-diff.githubusercontent.com/molsonhan/text_classification#关于中文字向量
https://patch-diff.githubusercontent.com/molsonhan/text_classification#数据集噪声很严重
https://patch-diff.githubusercontent.com/molsonhan/text_classification#x内部噪声很大
https://patch-diff.githubusercontent.com/molsonhan/text_classification#y的噪声很大
https://patch-diff.githubusercontent.com/molsonhan/text_classification#baseline选用cnn还是rnn
https://patch-diff.githubusercontent.com/molsonhan/text_classification#dropout加在哪里
https://patch-diff.githubusercontent.com/molsonhan/text_classification#二分类
https://patch-diff.githubusercontent.com/molsonhan/text_classification#样本类别不均衡问题
https://patch-diff.githubusercontent.com/molsonhan/text_classification#最后
https://patch-diff.githubusercontent.com/molsonhan/text_classification#总结
https://patch-diff.githubusercontent.com/molsonhan/text_classification#参考
fastText原理和文本分类实战,看这一篇就够了https://blog.csdn.net/feilong_csdn/article/details/88655927
TextCNN文本分类(keras实现)https://blog.csdn.net/asialee_bird/article/details/88813385#%E4%B8%80%E3%80%81%E8%AE%BA%E6%96%87%E7%AC%94%E8%AE%B0
浅谈基于深度学习的文本分类问题https://zhuanlan.zhihu.com/p/55263066
从DPCNN出发,撩一下深层word-level文本分类模型https://www.jiqizhixin.com/articles/2018-06-22-4
文本分类有哪些论文中很少提及却对性能有重要影响的tricks?https://www.jiqizhixin.com/articles/2019-01-24-5
从前馈到反馈:解析循环神经网络(RNN)及其trickshttps://mp.weixin.qq.com/s?__biz=MzIwNzc2NTk0NQ==&mid=2247484682&idx=1&sn=51520138eed826ec891ac8154ee550f9&chksm=970c2ddca07ba4ca33ee14542cff0457601bb16236f8edc1ff0e617051d1f063354dda0f8893&scene=21#wechat_redirect
达观数据曾彦能:如何用深度学习做好长文本分类与法律文书智能化处理http://www.52nlp.cn/%E5%A6%82%E4%BD%95%E7%94%A8%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E5%81%9A%E5%A5%BD%E9%95%BF%E6%96%87%E6%9C%AC%E5%88%86%E7%B1%BB%E4%B8%8E%E6%B3%95%E5%BE%8B%E6%96%87%E4%B9%A6%E6%99%BA%E8%83%BD%E5%8C%96
http://www.52nlp.cn/tag/长文本分类http://www.52nlp.cn/tag/%E9%95%BF%E6%96%87%E6%9C%AC%E5%88%86%E7%B1%BB
短文本分类和长文本分类的模型如何进行选择?https://www.zhihu.com/question/326770917/answer/698646465
NLP实践九:HAN原理与文本分类实践https://www.pianshen.com/article/4319299677/
NLP之文本分类https://www.jianshu.com/p/56061b8f463a
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