Deep Memory Network在Aspect Based Sentiment方向上的应用
前面的博文Deep Memory Network 深度记忆网络已经非常详细地介绍了该种网络架构，下面我们来研究一下其在基于方面的情感分类的应用。Aspect Based Sentiment是一种细粒度的情感分析问题，一个句子中可能有多个aspect，并且这些aspect的极性可能是不一样的。该任务来自SemEval-14 task 4，要求正确预测所有aspect的极性。基于方面的情感分析，以下全
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相关文章
- 1. Aspect Level Sentiment Classification with Deep Memory Network笔记
- 2. 论文《Aspect Level Sentiment Classification with Deep Memory Network》总结
- 3. Deep Mask Memory Network with Semantic Dependency and Context Moment for Aspect Level Sentiment Clas
- 4. Aspect Level Sentiment Classification with Deep Memory Network论文学习笔记
- 5. [论文]Attention-based LSTM for Aspect-level Sentiment Classificatio
- 6. Recurrent Attention Network on Memory for Aspect Sentiment 阅读笔记
- 7. 2017emnlp---Recurrent Attention Network on Memory for Aspect Sentiment Analysis阅读笔记
- 8. 《Attention-based LSTM for Aspect-level Sentiment Classification》
- 9. [论文] Aspect Based Sentiment Analysis with Gated Convolutional Networks
- 10. 论文阅读：Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks