The platform's integrated AI text detection system uses a four-dimensional evaluation model (syntactic entropy value, semantic density, stylistic fingerprinting, and logic mapping) that provides quantitative analysis reports before and after rewriting. This is different from ordinary detection tools that only give binary judgments, which WriteHuman will label in detail:
- Specific paragraph positions for mechanized expressions
- Suggested sentence types to optimize (e.g., passive voice overload)
- Sentiment Index Fluctuation Curve
- Change in readability score
In the actual test, this function helped users to improve the detection pass rate of Originality.ai from 78% in the initial rewrite to 96% in the final version, forming a complete working closed loop from detection to optimization.
This answer comes from the articleWriteHuman: a tool for transforming AI-generated text into natural human languageThe
May not be reproduced without permission:AI productivity tools " WriteHuman's Built-in AI Inspection Functionality Forms Closed-Loop Quality Verification
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