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All Projects → Jinkeycode → keras_lstm_chinese_document_classification

Jinkeycode / keras_lstm_chinese_document_classification

Licence: other
使用 Keras 进行中文文本分类

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tensorflowkeraslstmclassification-algorithm

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下载代码

git clone https://github.com/Jinkeycode/keras_lstm_chinese_document_classification.git

安装依赖

pip install -r requirements.txt

二分类

标签形式为[0, 0, 1, 1] 代表分类的四个样本分别为第 0 类和第 1 类

具体代码在 chinese_binary.py

多分类

标签形式为[[1, 0, 0], [0, 1, 0], [0, 0, 1]] 代表分类的四个样本分别为第 0 类、第 1 类、第 2 类

具体代码在 chinese_multi.py

训练

取消掉这几行的注释即可

# 训练模型
# model.fit(text_processed, target, batch_size=512, epochs=10, )
# 保存模型
# model.save("health_and_tech.h5")

预测

sen = "*" 改为 自己的句子

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