Traditional document-level sentiment analysis—labeling an entire post or article as simply positive, negative, or neutral—can no longer keep up with today’s complex digital conversations. This whitepaper explains why organizations must evolve toward entity- and aspect-level sentiment analysis to achieve the precision, transparency, and actionability modern research demands.

Through real-world examples and technical insights, Converseon demonstrates how this next-generation approach attributes sentiment to specific brands, products, or features—revealing who or what people are reacting to, and why. Powered by advanced NLP and model governance within the Conversus.AI platform, entity and aspect analysis enable deeper, more accurate insights that bridge the gap between social data, market research, and customer experience analytics.

Essential reading for analysts, researchers, and data scientists seeking to move beyond surface-level sentiment toward truly explainable, high-quality AI-driven insights.