Automated Narrative Generation from Big Data Analytics
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Solution Overview
Problem
Current Big Data technologies face challenges in effectively analyzing large datasets to extract meaningful insights and communicating these insights to users, relying heavily on human interpretation and failing to automate the generation of narratives that convey important information.
Innovation Solution
The development of communication goal data structures that guide the generation of narratives by specifying the purpose and scope of the narrative, allowing a computer to determine the necessary data and analytics required, thereby automating the process and focusing on relevant information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If Big Data technologies analyze large datasets to extract meaningful insights, then the quantity of information available increases, but the ability to automatically communicate these insights to users deteriorates
Solution Approach 1:
The patent introduces an automated narrative generation system that acts as an intermediary between Big Data analytics and human users. This system includes components such as a narrative generator, template engine, and natural language processing module that automatically transform raw data and analytical results into human-readable narratives, eliminating the need for manual interpretation while maintaining high information quality
Solution Approach 2:
The patent replaces the manual mechanical process of data interpretation and narrative creation with an automated computational system. The system uses algorithms, machine learning models, and natural language generation techniques to automatically produce insights narratives, substituting human cognitive labor with automated intelligent systems that can process and communicate Big Data findings at scale
2Measurement precision
If human experts interpret Big Data to find meaningful information, then the quality of insights improves, but the time and effort required increases
Solution Approach 1:
The patent enables the Big Data system to serve itself by automatically generating narratives about its own findings. The automated narrative generation system analyzes the data, identifies key insights, and communicates them without requiring external human experts, allowing the system to perform its own interpretation and communication functions autonomously
Solution Approach 2:
The patent pre-configures narrative templates, analysis frameworks, and communication protocols in advance, so that when data is analyzed, the system can immediately generate structured narratives using these pre-prepared components. This preliminary preparation eliminates the need for real-time human intervention in the narrative creation process
3Quantity of substance
If all available data is presented to users, then the completeness of information increases, but the clarity and usability of the information deteriorates
Solution Approach 1:
The patent extracts only the most relevant and meaningful insights from the complete dataset, separating key findings from the overwhelming volume of raw data. The automated narrative generation system identifies and extracts critical information elements, presenting them in a focused, usable format that maintains completeness of essential information while eliminating irrelevant details
Solution Approach 2:
The patent applies different levels of detail and presentation quality to different parts of the narrative based on their importance. Critical insights receive prominent, detailed presentation while supporting information is presented more concisely, creating a narrative with varying local qualities that optimizes both completeness and usability
Data Source
AI summary
The exemplary embodiments described herein are related to techniques for automatically generating narratives about data based on communication goal data structures that are associated with configurable content blocks. The use of such communication goal data structures facilitates modes of operation whereby narratives can be generated in real-time and/or interactive manners.