Text Analysis System Using Block Unit Grading
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Evaluating the appropriateness and learning value of e-text resources is challenging due to subjective assessments by educators and parents, lacking objective and accurate methods to determine their suitability for specific educational purposes.
Innovation Solution
A computer-implemented method that truncates text into block units, sorts them for uniqueness, and compares them against a grading database to assign grades, providing an overall evaluation based on successive truncation into increasingly larger units, utilizing a system with a processor and memory for efficient analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If subjective assessment by educators and parents is used to evaluate e-text resources, then personal judgment and experience can be applied, but the assessment becomes inaccurate and influenced by bias
Solution Approach 1:
The patent replaces the manual, subjective assessment process with an automated computer-implemented system that uses algorithms and databases to objectively evaluate e-text resources. The system automatically processes text, compares it against educational standards in a database, and generates grades without human intervention, thereby eliminating bias while maintaining high assessment accuracy.
2Productivity
If traditional manual evaluation methods are used to assess e-text appropriateness, then educator experience can be utilized, but the process becomes time-consuming and inefficient
Solution Approach 1:
The system enables self-service evaluation where the e-text resources automatically assess themselves against the database of educational standards. The computer-implemented method processes the text, extracts relevant features, compares them with predetermined criteria, and generates evaluation results autonomously without requiring educator time for manual review, thereby dramatically improving productivity.
3Reliability
If comprehensive text analysis is performed to ensure accurate grading, then assessment reliability improves, but the system complexity increases
Solution Approach 1:
The patent segments the text analysis process into distinct modular components: text preprocessing, feature extraction, database comparison, and grade generation. Each module performs a specific function and can be independently developed and maintained. This segmentation ensures comprehensive analysis for reliable grading while managing system complexity through modular architecture.
Data Source
AI summary
The invention provides a computer-implemented method for analyzing a piece of text. The method comprises truncating one or more characters of the text into one or more block units each having at least one character. The method includes sorting the one or more block units for one or more unique block units and comparing the one or more unique block units with a grading database to thereby assign a grade to each of the one or more unique block units. An overall grade for the piece of text may be determined based on one or more of the grades assigned to each of the one or more unique block units. The overall grade of the text may be derived from successive truncating of the text into block units of increasing size and the successive processing of such block units.