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- W3114346565 abstract "Emotion analysis in polarized contexts represents a challenge for Natural Language Processing modeling. As a step in the aforementioned direction, we present a methodology to extend the task of Aspect-based Sentiment Analysis (ABSA) toward the affect and emotion representation in polarized settings. In particular, we adopt the three-dimensional model of affect based on Valence, Arousal, and Dominance (VAD). We then present a Brexit scenario that proves how affect varies toward the same aspect when politically polarized stances are presented. Our approach captures aspect-based polarization from newspapers regarding the Brexit scenario of 1.2m entities at sentence-level. We demonstrate how basic constituents of emotions can be mapped to the VAD model, along with their interactions respecting the polarized context in ABSA settings using biased key-concepts (e.g., “stop Brexit” vs. “support Brexit”). Quite intriguingly, the framework achieves to produce coherent aspect evidences of Brexit’s stance from key-concepts, showing that VAD influence the support and opposition aspects." @default.
- W3114346565 created "2021-01-05" @default.
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- W3114346565 date "2020-01-01" @default.
- W3114346565 modified "2023-09-24" @default.
- W3114346565 title "Regrexit or not Regrexit: Aspect-based Sentiment Analysis in Polarized Contexts" @default.
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- W3114346565 doi "https://doi.org/10.18653/v1/2020.coling-main.19" @default.
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