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Embarrassingly Simple Unsupervised Aspect Based Sentiment Tuple Extraction
April 23, 2024, 4:49 a.m. | Kevin Scaria, Abyn Scaria, Ben Scaria
cs.CL updates on arXiv.org arxiv.org
Abstract: Aspect Based Sentiment Analysis (ABSA) tasks involve the extraction of fine-grained sentiment tuples from sentences, aiming to discern the author's opinions. Conventional methodologies predominantly rely on supervised approaches; however, the efficacy of such methods diminishes in low-resource domains lacking labeled datasets since they often lack the ability to generalize across domains. To address this challenge, we propose a simple and novel unsupervised approach to extract opinion terms and the corresponding sentiment polarity for aspect terms …
abstract analysis arxiv author cs.cl datasets domains extraction fine-grained however low opinions sentiment sentiment analysis simple tasks tuples type unsupervised
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