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This paper discusses the task of aspect-based sentiment analysis (ABSA) and proposes a novel convolutional neural network-based approach for aspect-level sentiment classification. ABSA is crucial for in-depth opinion mining as it involves classifying the sentiment of specific aspects in a text. The paper highlights the challenge of aligning sentiment expressions with their proper target aspect and proposes the use of CNNs to address this issue.

#convolutional neural network#absa#sentiment analysis#aspect extraction#recommender systems#neural models#attention mechanisms

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