Persuasion Curve Generation for Text Customization
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Solution Overview
Problem
Existing persuasive writing technologies lack the ability to objectively evaluate and customize textual persuasiveness across multiple levels and transitions in communications, such as sales letters, to effectively meet specific marketing objectives.
Innovation Solution
A computer-based system that evaluates persuasion values and transition values across text segments, generates a desired curve of persuasion factors, and recommends replacement words to align with marketing objectives, using natural language processing and multi-dimensional attribute vector analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If persuasive writing technologies use logic and reason to show a point of view, then the intention to convince a reader is improved, but the ability to objectively evaluate and customize textual persuasiveness across multiple levels deteriorates
Solution Approach 1:
The patent segments text into multiple levels (words, phrases, sentences, paragraphs, sections) and evaluates persuasion values at each level independently. This allows objective measurement of persuasiveness across different granularities, resolving the contradiction by enabling both effective persuasion and precise evaluation through multi-level analysis
Solution Approach 2:
The patent introduces transition values as a new dimension to evaluate not just static persuasion levels but also the dynamic transitions between them. This multi-dimensional approach (level values + transition values) enables precise objective evaluation while maintaining persuasion effectiveness
2Reliability
If persuasive writing technologies rely on careful word choices, then the ability to convince a reader is improved, but the complexity of evaluating and customizing persuasiveness increases
Solution Approach 1:
The patent divides the complex evaluation task into manageable segments by analyzing text at multiple hierarchical levels. Each level can be evaluated independently with its own persuasion values, making the overall complex system tractable while maintaining comprehensive evaluation capability
Solution Approach 2:
The patent transforms the abstract concept of persuasiveness into quantifiable parameters (persuasion values and transition values) that can be objectively measured and manipulated. This parameterization reduces complexity by converting qualitative judgment into quantitative analysis
3Adaptability or versatility
If persuasive writing technologies use multi-dimensional analysis, then the customization ability is improved, but the difficulty of detecting and measuring persuasiveness increases
Solution Approach 1:
The patent adds the dimension of transition values between persuasion levels to enhance customization capability. By measuring both static levels and dynamic transitions, the system achieves comprehensive multi-dimensional analysis while providing actionable insights for customization
Solution Approach 2:
The patent implements feedback mechanisms where persuasion values and transition values are calculated and used to generate recommendations for improvement. This feedback loop makes measurement practical by converting complex multi-dimensional data into actionable guidance
Data Source
AI summary
A service receives a persuasion-based input comprising a text and one or more marketing objectives to persuade a desired response. The service evaluates persuasion values of text segments of the text and persuasion transition values consecutively between respective persuasion values of the persuasion values across the text segments. The service generates a desired curve of persuasion factors across the text segments according to the one or more marketing objectives. The service recommends one or more replacement words to replace one or more selected words in text to move a deviation between the persuasion values and transition values in comparison to the desired curve of persuasion factors.