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Two-Level LSTM for Sentiment Analysis With Lexicon Embedding and Polar Flipping
Sentiment analysis is a key component in various text mining applications. Numerous sentiment classification techniques, including …
Ou Wu, Tao Yang, Mengyang Li, Ming Li
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Two-Level LSTM for Sentiment Analysis With Lexicon Embedding and Polar Flipping
Mitigating Sentimental Bias via A Polar Attention Mechanism
Fairness in machine learning has received increasing attention in recent years. This study focuses on a particular type of machine …
Tao Yang, Rujing Yao, Qing Yin, Qiang Tian, Ou Wu
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Mitigating Sentimental Bias via A Polar Attention Mechanism
Aspect-based Sentiment Analysis with New Target Representation and Dependency Attention
Aspect-based sentiment analysis (ABSA) is crucial for exploring user feedbacks and preferences on produces or services. Although …
Tao Yang, Qing Yin, Lei Yang, Ou Wu
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Aspect-based Sentiment Analysis with New Target Representation and Dependency Attention
Feature extraction and prediction of QAR data based on CNN-LSTM
Peng Zhang, Tao Yang, Yanan Liu, Zhiyong Fan, Zhaobin Duan