Table Data Processing via Natural Language Model
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Solution Overview
Problem
Users face difficulties in efficiently processing data in table software due to complex processing logic and high usage thresholds, leading to poor user experience and underutilization of data processing functions.
Innovation Solution
A data processing method and apparatus that includes a text input area for users to input target text, which is processed by a target model to execute data processing instructions, reducing the complexity and enhancing user experience by automating data processing within a table.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data processing functions are pre-deployed in the application, then data processing capability is provided, but the usage threshold becomes high and user experience deteriorates
Solution Approach 1:
The patent introduces a large language model as an intermediary between the user and the data processing system. Users provide natural language requirements, and the model translates these into executable processing rules, eliminating the need for users to directly configure complex processing parameters or understand system internals.
Solution Approach 2:
The system enables self-service by allowing the large language model to automatically generate, optimize, and execute processing rules based on user requirements. The model autonomously performs the complex task of translating natural language into system-specific processing logic, making the system serve itself rather than requiring expert user configuration.
2Adaptability or versatility
If complex processing logic is implemented, then data processing functionality is enhanced, but user understanding and operation difficulty worsen
Solution Approach 1:
The patent replaces the traditional mechanical approach where users manually configure processing parameters with an intelligent system using a large language model. The model automatically generates and optimizes processing rules, substituting complex manual configuration mechanisms with AI-driven automated rule generation.
Solution Approach 2:
The large language model serves as an intermediary layer that translates user-friendly natural language requirements into complex processing logic. This intermediary handles the complexity internally while presenting a simple interface to users, effectively hiding the processing logic complexity from end users.
3Productivity
If traditional data processing interface is used, then data processing function is provided, but user experience and processing efficiency deteriorate
Solution Approach 1:
The patent fundamentally changes the interface parameter from traditional structured forms and technical parameters to natural language text. This parameter change allows users to interact using everyday language rather than learning specialized interfaces, dramatically improving ease of operation while maintaining high processing efficiency through automated rule generation.
Data Source
AI summary
The present disclosure provides a data processing method, an apparatus, a device, and a storage medium. Specifically, data can be displayed to a user via a table in the first place. Then, the user can trigger a display instruction for a first data range in the table. In accordance with the display instruction triggered by the user, a data processing assembly can be displayed. The data processing assembly includes a text input area, through which the user can input a target text. After the data processing instruction for the data processing assembly is obtained, the data in the first data range can be processed in accordance with the target text and an adjustment result can be displayed. As such, the data is automatically processed without the user knowing the specific processing rules such that a usage threshold is lowered and a user experience is boosted.