Dynamic Text Highlighting in Electronic Documents
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Solution Overview
Problem
Reading large electronic documents is time-consuming due to the need to skim through their entirety, making it inefficient to comprehend and extract textual information.
Innovation Solution
A computing device implements dynamic highlighting techniques by allowing users to select entities or words within documents, automatically highlighting relevant terms and their related concepts, enabling efficient exploration and extraction of textual information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users read through the entirety of large electronic documents to comprehend content, then information completeness is improved, but time consumption increases
Solution Approach 1:
The patent extracts and highlights specific terms and concepts within the document that are relevant to the user's query or context, allowing users to focus on extracted key information rather than reading the entire document. This extraction principle directly addresses the contradiction by pulling out essential information while eliminating the need to process irrelevant content.
Solution Approach 2:
The patent applies differential highlighting to different portions of the document based on their relevance. Key terms are highlighted with different intensities or colors depending on their importance, allowing users to quickly identify and focus on the most relevant local regions of the document rather than treating all text uniformly.
2Measurement precision
If users manually search for specific terms in documents, then information extraction precision is improved, but operation complexity increases
Solution Approach 1:
The system automatically performs term highlighting and information extraction without requiring manual user intervention. The patent analyzes the document content and automatically identifies, extracts, and highlights relevant terms based on user queries or contextual analysis, making the system self-serving and eliminating complex manual search operations.
Solution Approach 2:
The patent changes the visual parameters of text display by applying different highlighting colors and intensities to different terms. This parameter change allows the system to precisely indicate information relevance through visual differentiation, improving extraction precision while maintaining ease of operation through automatic visual cues.
3Loss of information
If users highlight all terms in a document, then information visibility is improved, but information overload increases
Solution Approach 1:
The patent applies selective highlighting where only specific terms and concepts are highlighted rather than all text. Different highlighting intensities and colors are applied to different terms based on their relevance, allowing important information to stand out while keeping less relevant information unhighlighted, thus avoiding information overload.
Solution Approach 2:
The patent applies partial highlighting action by selectively emphasizing only the most relevant terms rather than highlighting all terms equally. This partial action principle ensures that users receive sufficient information visibility for key concepts without being overwhelmed by excessive highlighting of all document content.
Data Source
AI summary
Techniques for dynamically highlighting text in electronic documents are provided. In a first set of embodiments, a computing device can, upon presenting an electronic document to a user, receive a user selection of an entity associated with the document. The entity can represent a category of terms deemed relevant to the electronic document, where a term is a word or a combination of word(s) and/or punctuation(s) that have semantic significance. In response, the computing device can automatically highlight terms in the presented document that belong to the selected entity. In a second set of embodiments, the computing device can, upon presenting the electronic document to the user, receive a user selection of a word in the document. In response, the computing device can automatically highlight terms in the presented document that include the selected word, as well as other terms that are related to those terms.