《A Joint Model of Term Exaction and Polarity Classification for Aspect-based Sentiment Analysis》閱讀筆記
A Joint Model of Term Extraction and Polarity Classification for Aspect-based Sentiment Analysis 閱讀筆記 1.概述 同時進行兩個子任務，方面項提取（ATE）和方面詞情感極性分類（APC）。 2.模型 使用的是BI-LSTM+CRF結構，符合encoder-decoder結構。 BI-LSTM層： LS
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相關文章
- 1. 《A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term》筆記
- 2. SentiLR:Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis 論文閱讀筆記
- 3. 《Semisupervised Autoencoder for Sentiment Analysis》閱讀筆記
- 4. 《Attention-based LSTM for Aspect-level Sentiment Classification》閱讀筆記
- 5. Unsupervised Sentiment Analysis with Signed Social Networks--閱讀筆記
- 6. 論文閱讀筆記：A Unified Model for Opinion Target Extraction and Target Sentiment Prediction
- 7. 閱讀筆記 CR-Net: A Deep Classification-Regression Network for Multimodal Apparent Personality Analysis
- 8. Sentiment Analysis resources
- 9. 論文閱讀筆記（1）：A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
- 10. 《Sentiment Analysis Based on Deep Learning Approaches》閱讀筆記