Deep Memory Network在Aspect Based Sentiment方向上的應用
前面的博文Deep Memory Network 深度記憶網絡已經非常詳細地介紹了該種網絡架構，下面我們來研究一下其在基於方面的情感分類的應用。Aspect Based Sentiment是一種細粒度的情感分析問題，一個句子中可能有多個aspect，並且這些aspect的極性可能是不一樣的。該任務來自SemEval-14 task 4，要求正確預測所有aspect的極性。基於方面的情感分析，以下全
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相關文章
- 1. Aspect Level Sentiment Classification with Deep Memory Network筆記
- 2. 論文《Aspect Level Sentiment Classification with Deep Memory Network》總結
- 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論文學習筆記
- 5. [論文]Attention-based LSTM for Aspect-level Sentiment Classificatio
- 6. Recurrent Attention Network on Memory for Aspect Sentiment 閱讀筆記
- 7. 2017emnlp---Recurrent Attention Network on Memory for Aspect Sentiment Analysis閱讀筆記
- 8. 《Attention-based LSTM for Aspect-level Sentiment Classification》
- 9. [論文] Aspect Based Sentiment Analysis with Gated Convolutional Networks
- 10. 論文閱讀：Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks