Text Creativity Analysis Algorithm for Real-Time Writing Feedback
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Solution Overview
Problem
Writers often face challenges in detecting and addressing low creativity periods during textual composition, as existing methods like the Consensual Assessment Technique (CAT) are time-consuming, costly, and subjective.
Innovation Solution
A computer-implemented method that analyzes digitized textual representations using natural language processing and semantic analysis algorithms to determine the creativity level of textual user input. If the creativity level falls below a minimum threshold, the method generates a creativity enhancing measure, such as a text proposal or a boost proposal, to improve the creativity level.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the Consensual Assessment Technique (CAT) is used to measure creativity, then the creativity assessment is based on expert judgment, but the process becomes time-consuming and costly
Solution Approach 1:
The patent replaces the mechanical human expert assessment system with an automated computational system using natural language processing and semantic analysis algorithms. The processing device analyzes textual representations directly, substituting the manual CAT process with automated text mining, semantic distance calculation, and creativity scoring, thereby eliminating time consumption and cost while maintaining assessment capability
Solution Approach 2:
The patent creates a computational model that copies and simulates the expert judgment process through algorithms. By training machine learning models on expert assessments and replicating their decision-making patterns through semantic analysis, the system produces creativity scores that mirror expert evaluations without requiring actual experts, thus achieving fast and accurate assessment
2Measurement precision
If post-correction is performed to address low creativity passages, then the creativity level may be improved, but the process is time-consuming and laborious
Solution Approach 1:
The patent implements real-time feedback by continuously monitoring creativity levels during the writing process. The processing device provides immediate creativity scores and actionable suggestions to writers, enabling them to adjust their writing on the spot rather than performing time-consuming post-correction. This continuous feedback loop maintains productivity while ensuring creativity standards are met
Solution Approach 2:
The patent performs preliminary creativity assessment and intervention during the writing process itself, before finalization. By detecting low creativity passages in real-time and providing immediate suggestions for improvement, the system prevents the need for later post-correction, thereby maintaining writing efficiency while ensuring creativity quality
3Speed
If real-time creativity analysis is performed using semantic analysis algorithms, then immediate feedback is provided to writers, but computational resources are required
Solution Approach 1:
The patent applies partial analysis by focusing computational resources only on detecting and analyzing passages that exhibit low creativity indicators. Rather than performing full semantic analysis on every sentence, the system uses preliminary filters to identify problematic areas, then applies intensive analysis only where needed, reducing overall computational energy consumption while maintaining real-time feedback capability
Data Source
AI summary
A computer-implemented method for providing a creativity enhancing measure to a user to enhance a creativity level of a textual user input created by the user is provided. The method includes receiving a digitized textual representation representing the textual user input. A creativity level of the textual user input is determined by applying one or more algorithms including semantic analysis to the digitized textual representation. If the creativity level of the textual user input is below a minimum creativity threshold level, a creativity enhancing measure is generated. In aspects, textual user input may encompass one or more letters, one or more words, one or more phrases and/or one or more sentences. Specifically, the textual user input may be created by the user using a writing instrument.