Data Analysis Text Templates for Concise Multi-Scenario Output

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Solution Overview

Problem

Data analysis results are often presented in graphical forms that occupy large screen space and are not easily understood, lacking the conciseness and efficiency of natural language expressions, especially in multi-dimensional scenarios, and pose challenges in protecting privacy data from disclosure.

Innovation Solution

A text output method and apparatus that adapt to diverse analysis scenarios by determining metrics and analytic methods, configuring initial templates, adjusting them based on parameter values, and filling them with specific data to generate concise and accurate text outputs.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If data analysis results are output in graphical form, then visual presentation is achieved, but screen space consumption increases and user understanding becomes difficult

Engineering Contradiction:
Improveuser understandingVSAvoidscreen space
Core Design Contradiction:
Ease of operationVSArea of stationary object

Solution Approach 1:

The patent replaces graphical visualization mechanisms with natural language text expression mechanisms. Instead of using charts and graphs to present data analysis results, the system generates text-based summaries that directly convey insights, thereby reducing screen space requirements while improving user understanding through more concise and accessible information delivery.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If natural language expression is used for data analysis output, then conciseness and efficiency improve, but adaptability to diverse analysis scenarios decreases

Engineering Contradiction:
Improveanalysis output efficiencyVSAvoidscenario adaptability
Core Design Contradiction:
ProductivityVSAdaptability or versatility

Solution Approach 1:

The patent implements dynamic text template adjustment where the system automatically modifies text expression templates based on extracted parameter values and analysis results. This allows the same base template structure to adapt to diverse analysis scenarios by dynamically inserting and adjusting content based on the specific data characteristics, thereby maintaining high efficiency while achieving broad scenario adaptability.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes text expression parameters such as template selection, content insertion, and formatting based on extracted parameter values from the data analysis results. By adjusting these parameters dynamically, the system can generate appropriate text outputs for different analysis scenarios without requiring separate templates for each scenario, thus maintaining versatility while improving efficiency.

Inventive Principle:
Principle #35Parameter changes

3Device complexity

If fixed text templates are used for data output, then processing simplicity increases, but output accuracy and flexibility decrease

Engineering Contradiction:
Improveprocessing complexityVSAvoidtext output accuracy
Core Design Contradiction:
Device complexityVSManufacturing precision

Solution Approach 1:

The patent segments the text template into a base structure and dynamic content portions. The base template provides the standard structure and formatting, while the dynamic content portions are filled with extracted parameter values and analysis-specific information. This segmentation allows for simple processing of the template structure while achieving high accuracy through precise content insertion based on the actual data analysis results.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS20260080158A1Text output method and apparatus in data analysis
Publication Date: 2026.03.19 ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
  • US20260080158A1 patent drawing
  • US20260080158A1 patent drawing
  • US20260080158A1 patent drawing

AI summary

Implementations of the present specification provide a text output method and apparatus in data analysis. The method includes: determining a metric and an analytic method for a target analysis task, and executing the target analysis task based on the metric and the analytic method, to obtain a data analysis result; extracting a first parameter value of a predetermined feature parameter and a second parameter value of a common parameter from the data analysis result based on parameter configuration information; obtaining an initial text expression template configured for the analytic method; adjusting a content of the initial text expression template based on the first parameter value, to obtain a dedicated text expression template; and filling the dedicated text expression template based on the second parameter value, to obtain a text output result of the data analysis result. As such, adaptability to diversity of analysis scenarios can be implemented, and flexibility and accuracy of text output can be ensured.