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- W2797364912 abstract "Aspect-level sentiment classification aims to identify the sentiment expressed towards some aspects given context sentences. In this paper, we introduce an attention-over-attention (AOA) neural network for aspect level sentiment classification. Our approach models aspects and sentences in a joint way and explicitly captures the interaction between aspects and context sentences. With the AOA module, our model jointly learns the representations for aspects and sentences, and automatically focuses on the important parts in sentences. Our experiments on laptop and restaurant datasets demonstrate our approach outperforms previous LSTM-based architectures." @default.
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- W2797364912 date "2018-04-17" @default.
- W2797364912 modified "2023-09-25" @default.
- W2797364912 title "Aspect Level Sentiment Classification with Attention-over-Attention Neural Networks" @default.
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- W2797364912 doi "https://doi.org/10.48550/arxiv.1804.06536" @default.
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