CNN-Text-Classification-of-Product-Title

使用TextCNN对商品名称进行分类。 使用自训练的词嵌入。

Requirements

• Python 3
• Tensorflow 1.12以上
• Numpy

Training dataset

训练集包含50万条样本及1258种类别。 下载链接：https://pan.baidu.com/s/1tv3yh6-H2cNTxuicJA5ykA 提取码：qlxm

Project structure

data/目录下包含了训练集以及字符级、词级词汇表，标签id表
data/proprocess.py包含一系列预处理数据的函数
cnn_model.py包含TextCNN模型的定义以及可调节的参数
train.py包含训练的代码
test.py包含测试的代码

Environment

• Windows 10
• GTX 970M 3G
• Intel i7-6700HQ

Train

python train.py

Referrence

CNN-RNN中文文本分类，基于TensorFlow: gaussic/text-classification-cnn-rnn https://github.com/gaussic/text-classification-cnn-rnn

dennybritz的TextCNN实现教程: http://www.wildml.com/2015/12/implementing-a-cnn-for-text-classification-in-tensorflow/

dennybritz/cnn-text-classification-tf: https://github.com/dennybritz/cnn-text-classification-tf

原论文: Convolutional Neural Networks for Sentence Classification https://github.com/yoonkim/CNN_sentence

预训练中文word2vec词向量: Embedding/Chinese-Word-Vectors https://github.com/Embedding/Chinese-Word-Vectors

jieba中文分词模块: fxsjy/jieba https://github.com/fxsjy/jieba