Nepali meme analysis uses transformers for hate speech and sentiment

Researchers have developed transformer-based models to analyze Nepali memes for hate speech and sentiment. The study focused on text extraction from memes, employing OCR and subsequent analysis with transformer architectures. Experiments showed that a decoder-only model excelled at binary hate speech detection, while a soft voting ensemble approach improved sentiment analysis performance by 15.8% in Macro F1-score. AI

IMPACT Demonstrates advanced NLP techniques for low-resource languages and multimodal content analysis.

RANK_REASON This is a research paper detailing a novel application of transformer models and ensemble learning for text analysis on Nepali memes. [lever_c_demoted from research: ic=1 ai=1.0]

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• CHIPSAL 2026
• Ensemble Learning
• TeamHerald
• Transformer-based Architectures

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