基于BERT的电商评论观点挖掘
基于pytorch和bert，参考NER的网络结构，第一个全连接的输出层输出属性/观点的起始位置（按照BEIS，共有8个类），第二个输出观点+属性的分类（合计有28个类）
运行环境
python3.6 + pytorch==1.0.1 + pytorch-pretrained-bert==0.6.2
运行命令
cd code; CUDA_VISIBLE_DEVICES=0 python train_v2.py
比赛链接
TODO
- 数据增强
- 多网络融合
EliasCai / viewpoint-mining
Licence: other
参考NER，基于BERT的电商评论观点挖掘和情感分析
Stars: ✭ 31
Programming Languages
python
139335 projects - #7 most used programming language
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