https://github.com/tcxdgit/cnn_multilabel_classification
Multilabel classification based on TextCNN and Attention
https://github.com/tcxdgit/cnn_multilabel_classification
Last synced: 12 months ago
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Multilabel classification based on TextCNN and Attention
- Host: GitHub
- URL: https://github.com/tcxdgit/cnn_multilabel_classification
- Owner: tcxdgit
- Created: 2018-11-06T10:52:29.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2020-08-12T08:56:21.000Z (over 5 years ago)
- Last Synced: 2024-11-16T05:32:36.807Z (over 1 year ago)
- Language: Python
- Size: 22.5 KB
- Stars: 76
- Watchers: 1
- Forks: 33
- Open Issues: 2
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Metadata Files:
- Readme: README.md
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README
# 用于进行意图识别/文本分类的分类器
`load_data_for_cnn_multi.py`
从mongoDB数据库中下载当前场景的数据,默认对句子进行分词预处理
`train.py` 训练分类器,需要修改代码中的场景名
`config.py` 调整分类模型的参数
`cnn_attention_model.py` textCNN+attention模型的graph(attention思想参见论文Zhao Z, Wu Y. Attention-Based Convolutional Neural Networks for Sentence Classification[C]// INTERSPEECH. 2016:705-709.)
`data_helper.py` 数据处理部分
`test.py` 测试模型性能
`cnnclasssify.py` 预测代码，输入分词后的句子
`mq_cnnclassify.py` server部分，调用cnnclassify.py
`classify.py` client部分