ACL2018：Aspect Based Sentiment Analysis with Gated Convolutional Networks（翻譯）
Abstract 基於Aspect的情感分析（ABSA）能提供比一般情感分析更詳細的信息，因爲它的目的是預測文本中給定的aspect或實體的情感極性。我們將以前的方法歸納爲兩個子任務：aspect類別情感分析（aspect-category sentiment analysis (ACSA)） 和aspect實體情感分析（ aspect-term sentiment analysi
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相關文章
- 1. [論文] Aspect Based Sentiment Analysis with Gated Convolutional Networks
- 2. acl2018---Aspect Based Sentiment Analysis with Gated Convolutional Networks論文閱讀筆記
- 3. Aspect Based Sentiment Analysis with Gated Convolutional Networks 閱讀筆記
- 4. 論文閱讀 Aspect Based Sentiment Analysis with Gated Convolutional Networks
- 5. 論文閱讀：Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks
- 6. 【論文閱讀筆記】Aspect-based sentiment analysis with alternating coattention networks
- 7. Language Modeling with Gated Convolutional Networks
- 8. Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts
- 9. Deformable Convolutional Networks翻譯
- 10. 【論文閱讀筆記】Modeling Sentiment Dependencies with Graph Convolutional Networks for Aspect-level Sentiment