2024
DOI: 10.48084/etasr.7741
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Stance Detection in Hinglish Data using the BART-large-MNLI Integration Model

Somasekhar Giddaluru,
Sreerama Murty Maturi,
Obulesu Ooruchintala
et al.

Abstract: Real-time stance detection can be used in a wide range of applications like debate analysis, sentiment analysis, system feedback, etc. This study focuses on stance detection in political speeches, discerning whether the speaker is in favor, against, neutral, or lacking any stance on a given topic. The problem with this type of speeches dwells in the modification of the existing methods of stance detection to allow for the fine distinctions of Hinglish, a language mixture blending Hindi and English, as conveyed… Show more

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