Text Processing Method for Entity Word Explanation
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Solution Overview
Problem
Users face difficulties in understanding text due to the presence of entity words such as abbreviations, product terms, and enterprise-specific words in instant messaging, document editing, and email applications, which are not effectively highlighted or explained within the context.
Innovation Solution
A text processing method and apparatus that identifies target entity words in text, generates a word explanation set, and displays related information in a preset mode, allowing users to quickly locate and understand these terms without leaving the application.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If entity words are used in text to convey specific subject field information, then the information density and precision are improved, but the user understanding difficulty increases
Solution Approach 1:
The patent introduces an intermediary system that detects entity words in text and automatically retrieves their explanations from a knowledge base. This intermediary process bridges the gap between precise but difficult-to-understand entity words and user comprehension, allowing users to obtain explanations without leaving the current application context.
Solution Approach 2:
The system enables self-service by automatically providing entity word explanations when users encounter unfamiliar terms during text processing. The explanation retrieval and display happen autonomously within the application, eliminating the need for users to manually search for external definitions or interrupt their workflow.
2Device complexity
If traditional text display methods are used, then the interface simplicity is maintained, but the user interaction efficiency decreases
Solution Approach 1:
The system performs preliminary actions by pre-loading and caching entity word explanations in a knowledge base before users encounter them. When entity words are detected during text processing, the explanations are already available for immediate display, reducing latency and improving interaction efficiency without complicating the interface.
Solution Approach 2:
The patent adds a new dimension to text display by overlaying entity word explanations in a popup or side panel while maintaining the original text view. This dimensional addition provides contextual information without replacing or significantly altering the primary text interface, thus preserving simplicity while enhancing efficiency.
3Measurement precision
If entity word explanations are provided externally, then the explanation accuracy is improved, but the user time loss increases
Solution Approach 1:
The patent merges the explanation retrieval process with the existing text processing workflow. Instead of requiring users to switch to external tools or separate applications for explanations, the system combines entity word detection, knowledge base querying, and explanation display within a single integrated interface, reducing time loss while maintaining accuracy.
Solution Approach 2:
The system ensures continuity of useful action by maintaining the user's text processing workflow uninterrupted. Entity word explanations are delivered inline or in-popup during the natural reading flow, allowing users to continue their primary task without breaking concentration or switching contexts, thus minimizing time loss while providing accurate explanations.
Data Source
AI summary
Embodiments of the disclosure disclose a text processing method and apparatus, and an electronic device. A specific embodiment of the method includes: obtaining text to be processed, determining target entity words in the text to be processed, thereby generating a target entity word set; determining a word explanation corresponding to the target entity word in the target entity word set based on the text to be processed, and obtaining related information corresponding to the word explanation; and pushing target information to present the text to be processed, and displaying the target entity word in the target entity word set in a preset display mode in the text to be processed, where the target information includes the target entity word set, the word explanation corresponding to the target entity word in the target entity word set, and the related information.


