Use tensorflow to classify the file review text with CNN
该项目完成了电影评语分类功能，分类准确率达到74%。
项目内共有4个文件（夹），其中包括：
数据集
train_test.py
data_helpers.py
text_cnn.py
数据集： 总词条数19417，语句10000条。积极、消极评论各占一半。 其中的90%作为训练集，剩下的10%作为测试集（保证测试集中正、负样本数量相当）
实现方法： 应用单隐藏层卷积神经网络完成评语分类的功能。
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