Text to Visualization System for Automated Infographic Generation
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Solution Overview
Problem
Existing visualization solutions require specialized skills and are time-consuming to create, limiting their accessibility for presenting information effectively.
Innovation Solution
A computing device and method that extracts information items from natural language sentences and generates visual representations using a parser and generator, combining machine learning models and visual element libraries to create infographics that indicate the information expressed in the sentences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If existing visualization solutions are used, then visual representation can be obtained, but it requires specialized skills and is time-consuming
Solution Approach 1:
The system automatically extracts information from text and generates visual representations without requiring user intervention for manual chart creation. The automated pipeline includes text analysis, information extraction, and visualization generation that operates autonomously to produce visual outputs from raw text inputs.
Solution Approach 2:
The system handles multiple types of visualizations (bar charts, line graphs, pie charts, etc.) through a unified framework that can process various text formats and generate appropriate visual representations automatically, making it versatile for different visualization needs without requiring separate tools or expertise.
2Ease of operation
If existing visualization solutions are used, then visual representation can be obtained, but it requires learning of special skills resulting in high learning cost
Solution Approach 1:
The system introduces an automated text analysis layer that serves as an intermediary between raw text and visual representations. This intermediary automatically extracts relevant information and transforms it into visualization parameters, eliminating the need for users to directly manipulate complex visualization tools or understand chart design principles.
Solution Approach 2:
The system divides the visualization creation process into distinct automated stages: text preprocessing, information extraction, visualization parameter generation, and visual output creation. Each stage handles specific tasks independently, allowing the system to manage complexity internally while presenting a simple interface to users.
Data Source
AI summary
Various implementations of the present disclosure relate to text to visualization. In a method, information items are extracted from a natural language sentence. Visual elements associated with the information items are determined. A visual representation of the natural language sentence based on the visual elements is determined, the visual representation indicating information expressed by the natural language sentence.


