gated_pban-源码
PBAN-PyTorch
工作的实施。
要求
PyTorch> = 0.4.0
NumPy> = 1.13.3
Python 3.6
GloVe预先训练的单词向量：
下载预训练的单词向量。
将和到\glove\文件夹中。
数据集
基于的餐厅和笔记本电脑数据集。
餐厅数据集
极性
＃积极的
＃消极的
＃中性的
火车
2164
807
637
测试
728
196
196
笔记本电脑数据集
极性
＃积极的
＃消极的
＃中性的
火车
994
870
464
测试
341
128
169
用法
训练模型：
python train.py --model_name pban --dataset restaurant
显示帮助消息并退出：
python train.py -h
实施模型
LSTM
唐杜玉等。 “有效的LSTM，用于目标依赖的情感分类。” 2016
文件下载
资源详情
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