文本分类，使用深度学习算法，如Linear、CNN、LSTM等
文本分类，使用深度学习算法，如Linear、CNN、LSTM等
使用waimai_10k数据集，该数据集主要是外卖餐饮的评论数据，包括4k条正向评论和8k条负向评论，本示例为使正负样本平衡，只选择4k条负向评论，共计8k条数据。
来源：https://github.com/SophonPlus/ChineseNlpCorpus/tree/master/datasets
pretreatment.py进行数据预处理；vocabulary.py构建词典，并将文本数据进行编码；main.py训练模型，并评估模型效果；
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