《Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree》閱讀筆記
《Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree基於依賴樹卷積的方面級情感分析》閱讀筆記 1.摘要 提出了一種基於依賴樹卷積的方面級情感分析方法，以往的模型都是集中在利用神經網絡的表達能力來進行ABSA任務的，忽略了諸如依賴樹等重要的信息，這些資源可以縮小方面詞和觀點詞之間的距離，使得依賴信息可以有效的保存在
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相關文章
- 1. 《Semisupervised Autoencoder for Sentiment Analysis》閱讀筆記
- 2. Octave Convolution閱讀筆記
- 3. Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification閱讀筆記
- 4. 論文閱讀筆記：Transfer Learning for Deep Sentiment Analysis
- 5. 《Review Sentiment Analysis Based on Deep Learning》論文閱讀筆記
- 6. ACL-2020《KinGDOM：Knowledge-Guided DOMain Adaptation for Sentiment Analysis》閱讀筆記
- 7. Aspect Based Sentiment Analysis with Gated Convolutional Networks 閱讀筆記
- 8. Unsupervised Sentiment Analysis with Signed Social Networks--閱讀筆記
- 9. acl2018---Aspect Based Sentiment Analysis with Gated Convolutional Networks論文閱讀筆記
- 10. 《Sentiment Analysis Based on Deep Learning Approaches》閱讀筆記