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Aspect-Based Sentiment Analysis as Fine-Grained Opinion Mining

LREC 2020 • Gerardo Ocampo Diaz • Xuanming Zhang • Vincent Ng

We show how the general fine-grained opinion mining concepts of opinion target and opinion expression are related to aspect-based sentiment analysis (ABSA) and discuss their benefits for resource creation over popular ABSA annotation schemes. Specifically, we first discuss why opinions modeled solely in terms of (entity, aspect) pairs inadequately captures the meaning of the sentiment originally expressed by authors and how opinion expressions and opinion targets can be used to avoid the loss of information... (read more)

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