AI Script Analysis for Structured Content Production Planning

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Solution Overview

Problem

Traditional script analysis for video content production is time-consuming and labor-intensive, with limitations on accuracy and consistency, and existing AI technologies face challenges in text analysis and video production.

Innovation Solution

An AI model is developed to automatically extract and analyze script information, structuring it for content production, and provide intuitive graphical user interfaces for modification and analysis, including preprocessing, categorization, and display of relevant data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual script analysis is used, then accuracy and consistency can be maintained through human judgment, but the process becomes time-consuming and labor-intensive

Engineering Contradiction:

Improveanalysis accuracyVSAvoidtime consumption

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces the mechanical human analysis system with an AI-based automated analysis system. The control unit processes script files through preprocessing, separation, grouping, and classification operations, substituting manual human labor with automated computational processes that maintain consistency while reducing time consumption.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service by allowing the script analysis process to execute automatically without human intervention. The control unit autonomously performs all analysis steps including preprocessing, separating script content, grouping by scene, and classifying sentences, making the system serve itself rather than requiring continuous human operation.

Inventive Principle:

Principle #25Self-service

2Productivity

If automated AI analysis is implemented, then time consumption is reduced and productivity increases, but challenges arise in text analysis accuracy and video production understanding

Engineering Contradiction:

Improveanalysis efficiencyVSAvoidtext analysis accuracy

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The patent applies segmentation by dividing the script file into multiple components: separating script content into individual scenes, grouping sentences by scene, and classifying sentences into different categories. This multi-level segmentation allows the AI system to process complex scripts systematically, improving both efficiency and accuracy by breaking down the analysis task into manageable units.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system introduces an intermediary structured data format that bridges raw script text and final analysis results. The control unit transforms unstructured script content into structured intermediate representations through preprocessing and grouping operations, enabling more accurate AI analysis while maintaining high processing efficiency.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Loss of information

If comprehensive script analysis is performed, then detailed production information is obtained, but the complexity of processing and displaying the information increases

Engineering Contradiction:

Improveinformation completenessVSAvoidprocessing complexity

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The patent manages information complexity through segmentation by organizing comprehensive script analysis results into distinct structured categories. The control unit separates and groups information by scenes, then classifies sentences into different types, creating a hierarchical structure that preserves information completeness while making the data manageable and easy to process further.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system transforms one-dimensional raw text into multi-dimensional structured data through preprocessing, grouping, and classification operations. This dimensional transformation organizes comprehensive information into a structured format with multiple attributes and categories, reducing processing complexity while maintaining information completeness.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

Data Source

PatentUS20260003826A1Method, device, and program for providing information regarding content production

Publication Date: 2026.01.01 CJ OLIVENETWORKS

AI summary

Herein is proposed a method for providing information regarding content production, comprising: performing preprocessing on a script file; separating and grouping the contents of the preprocessed script file; classifying sentences which meet predetermined condition into one or more categories; storing information related to the grouping of the preprocessed script file or information on the classification of sentences into one or more categories; processing the stored information in response to requests related to the stored information; and displaying the processed information.