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Sentiment in social-media conversations is significantly influenced by discourse moves, with specific interventions capable of mitigating negativity or amplifying hostility.
Counterfactuals generated by CAVE-ABSA not only flip sentiment accurately but also preserve semantic meaning and fluency, addressing critical flaws in existing methods.
