Traditional sentiment and emotion analysis often miss the deeper “why” behind consumer expression. This whitepaper introduces the Conversus Attitude Framework™, Converseon’s next-generation NLP model that moves beyond simple sentiment to reveal actionable intent, tone, and behavioral signals within unstructured social, media, and customer data.

Built on years of R&D and powered by advanced LLM technology, this framework identifies 15 nuanced attitudes—such as Frustrated, Grateful, Inquiring, or Outraged—to deliver richer, more precise insights. Readers will learn how this approach enhances data accuracy, improves crisis detection, refines brand strategy, and predicts loyalty or churn with greater reliability than sentiment alone.

This whitepaper is essential reading for analysts, marketers, and researchers seeking to transform noisy social data into meaningful intelligence that drives real business outcomes.