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TextCNN Pytorch实现 中文文本分类 情感分析
| Date | Stars |
|---|---|
| 2026-07-24 | 645 |
| 2026-07-25 | 645 |
| 2026-07-28 | 645 |
| 2026-07-30 | 645 |
| 2026-08-06 | 645 |
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## TextCNN Pytorch实现 中文文本分类
## 论文
[Convolutional Neural Networks for Sentence Classification](https://arxiv.org/abs/1408.5882)
## 参考
* https://github.com/yoonkim/CNN_sentence
* https://github.com/dennybritz/cnn-text-classification-tf
* https://github.com/Shawn1993/cnn-text-classification-pytorch
## 依赖项
* python3.5
* pytorch==1.0.0
* torchtext==0.3.1
* jieba==0.39
## 词向量
https://github.com/Embedding/Chinese-Word-Vectors<br>
（这里用的是Zhihu_QA 知乎问答训练出来的word Word2vec）
## 用法
```bash
python3 main.py -h
```
## 训练
```bash
python3 main.py
```
## 准确率
- [x] CNN-rand 随机初始化Embedding
```bash
python main.py
```
>
Batch[1800] - loss: 0.009499 acc: 100.0000%(128/128)
Evaluation - loss: 0.000026 acc: 94.0000%(6616/7000)
early stop by 1000 steps, acc: 94.0000%
- [x] CNN-static 使用预训练的静态词向量
```bash
python main.py -static=true
```
>
Batch[1900] - loss: 0.011894 acc: 100.0000%(128/128)
Evaluation - loss: 0.000018 acc: 95.0000%(6679/7000)
early stop by 1000 steps, acc: 95.0000%
- [x] CNN-non-static 微调预训练的词向量
```bash
python main.py -static=true -non-static=true
```
>
Batch[1500] - loss: 0.008823 acc: 99.0000%(127/128))
Evaluation - loss: 0.000016 acc: 96.0000%(6729/7000)
early stop by 1000 steps, acc: 96.0000%
- [x] CNN-multichannel 微调加静态
```bash
python main.py -static=true -non-static=true -multichannel=true
```
>
Batch[1500] - loss: 0.023020 acc: 98.0000%(126/128))
Evaluation - loss: 0.000016 acc: 96.0000%(6744/7000)
early stop by 1000 steps, acc: 96.0000%
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matched fp:e455f7b3843d2796, topic:nlp, topic:text-classification, readme:text classification