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Target-oriented sentiment classification aims at classifying sentiment polarities over individual opinion targets in a sentence.
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Semeval-2014 task 4: Aspect based sentiment analysis
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Deep multi-task learning for aspect term extraction with memory interaction
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Attention modeling for targeted sentiment
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Learning to attend via word-aspect associative fusion for aspect-based sentiment analysis
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Attention based lstm for target dependent sentiment classification
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Target-dependent twitter sentiment classification with rich automatic features
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Attention-based lstm for aspect-level sentiment classification
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Gated neural networks for targeted sentiment analysis
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Deep residual learning for image recognition
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Min Yang, Wenting Tu, Jingxuan Wang, Fei Xu, and Xiaojun Chen. 2017 · 2017
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A sensitivity analysis of (and practitioners guide to) convolutional neural networks for sentence classification
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Dependency parsing with partial annotations: An empirical comparison
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Bei Shi, Zihao Fu, Lidong Bing, and Wai Lam. 2018 · 2018
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