This paper explores the evolution of sentiment analysis from basic positive, negative, and neutral classifications to more advanced entity- and aspect-level analysis. Developed by Converseon in partnership with Meltwater, it demonstrates how social and customer intelligence can be enhanced through artificial intelligence and natural language processing technologies. Drawing on more than a decade of experience in social intelligence, the report argues that understanding attitudes provides deeper and more actionable insights than traditional emotion-based analysis alone. Rather than simply identifying how people feel, attitudinal analysis reveals what people think, believe, prefer, and intend regarding specific brands, products, or issues. By examining sentiment at a more granular level, org

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