This whitepaper presents an NLP-driven framework for qualitative assessment of marketing content that enhances engagement and conversions. It outlines algorithms designed to evaluate content across four dimensions: audience focus, benefit orientation, claim validity, and sensory appeal. Cue extraction techniques help categorize content as customer-centric, benefit-rich, or assertive. Sensory-driven language is also analyzed using a custom repository. Experimental results demonstrate the system’s effectiveness. While current limitations exist, the approach supports applications in sentiment analysis, content tagging, mapping, and automated short-answer grading.

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