Aspect-Based Sentiment Analysis
PulseAugur coverage of Aspect-Based Sentiment Analysis — every cluster mentioning Aspect-Based Sentiment Analysis across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New framework CAVE-ABSA improves counterfactual generation for sentiment analysis
Researchers have introduced CAVE-ABSA, a novel framework designed to generate and validate aspect-based counterfactuals for sentiment analysis. This method addresses limitations in existing approaches by focusing on loc…
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New Sinhala dataset launched for Aspect-Based Sentiment Analysis
Researchers have introduced SalAngaBhava, a new dataset designed for Aspect-Based Sentiment Analysis (ABSA) in Sinhala, a low-resource language spoken primarily in Sri Lanka. This dataset comprises Sinhala product revie…
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ACAT platform streamlines ABSA dataset annotation with automated ETL
Researchers have developed ACAT, a novel web-based platform designed to streamline the annotation process for Aspect-Based Sentiment Analysis (ABSA) datasets. ACAT natively supports four distinct ABSA workflows, includi…
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DiffuSent framework unifies sentiment analysis with diffusion models
Researchers have introduced DiffuSent, a novel diffusion-based framework designed to unify various subtasks within Aspect-Based Sentiment Analysis (ABSA). This non-autoregressive model addresses limitations of previous …
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New LLM techniques and synthetic benchmarks advance sentiment analysis
Two new research papers explore advancements in Aspect-Based Sentiment Analysis (ABSA) using Large Language Models (LLMs). The first paper introduces "Multi-View Prompting" (LLM-MvP), a technique that combines schema-co…
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LLMs, experts, and students compared for German sentiment analysis annotation quality
A new paper investigates the quality of annotations for Aspect-Based Sentiment Analysis (ABSA) in German, comparing experts, students, crowdworkers, and large language models (LLMs). The study re-annotated an existing d…