The Register Gap: A Meaning Intelligence Framework for Nigerian Public Discourse
Researchers have developed a new framework called the Meaning Intelligence Framework (MIF) to better understand the nuances of Nigerian public discourse. Unlike existing sentiment analysis tools that focus on simple positive, negative, or neutral classifications, MIF evaluates nine dimensions including register, true intent, irony, and coded subtext. When tested with Gemini 2.5 Flash, the MIF schema significantly improved the model's accuracy in identifying these complex linguistic features, particularly in detecting coded subtext and recommending strategic communication actions. AI
IMPACT This framework could lead to more culturally aware and contextually sensitive AI systems for diverse linguistic communities.