Document Meme Scoring and Modification System
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Solution Overview
Problem
Current tools lack the capability to assist authors in effectively constructing documents using parts of speech, images, and numbers to generate desired memes or cultural transformations.
Innovation Solution
A method and system that receive a document to identify and score terms providing positive or negative memes, allowing authors to modify the document by suggesting synonyms, adjusting layout, and relocating images to achieve the desired meme association with primary objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If authors manually construct documents to produce desired memes, then they can convey cultural transformations, but there are no tools to assist them in effectively using parts of speech, images, and numbers
Solution Approach 1:
The system automatically analyzes the document and generates meme effectiveness scores without requiring manual evaluation by the author. The tool self-evaluates the impact of parts of speech, images, and numbers on meme construction, providing automated feedback that helps authors improve their documents without requiring complex manual analysis tools.
Solution Approach 2:
The system provides feedback to authors by calculating meme effectiveness scores and identifying specific terms that contribute to positive or negative memes. This feedback mechanism allows authors to understand the impact of their writing choices and adjust their documents accordingly, making the complex task of meme construction more manageable.
2Measurement precision
If the system provides detailed analysis of meme components, then authors can improve meme effectiveness, but the system complexity increases
Solution Approach 1:
The system segments the document analysis into distinct components: identifying parts of speech, analyzing images, evaluating numbers, and calculating overall meme effectiveness scores. This segmentation allows for precise measurement of different meme components while keeping the system architecture modular and manageable.
Solution Approach 2:
The system uses measurable parameters such as word frequency, image prominence, and numerical values to quantify meme effectiveness. By transforming qualitative meme construction into quantitative parameters, the system achieves precise measurement without requiring overly complex analysis mechanisms.
3Productivity
If authors modify documents using suggested options, then they can achieve desired meme associations, but the modification process becomes more complex
Solution Approach 1:
The system performs preliminary analysis of the document before the author makes modifications. By pre-identifying key terms, calculating meme scores, and suggesting potential improvements in advance, the system enables authors to make more informed and efficient modifications without having to analyze every aspect during the editing process.
Solution Approach 2:
The system provides dynamic suggestions for document modification based on the calculated meme effectiveness scores. As authors make changes, the system can re-evaluate the document and provide updated feedback, creating a dynamic interaction that simplifies the modification process while maintaining high productivity.
Data Source
AI summary
A method, system and computer program product for assisting users to generate the desired meme in a document. A document is scanned to identify parts of speech, numerical text or numbers and images (collectively the “terms”) that provide positive/negative memes. A score for each of these terms is assigned. A score may then be assigned to each designated primary object (e.g., individual, company) discussed in the document using the scores assigned to the identified terms. Options may then be provided to modify the document to provide the type of meme (e.g., positive or negative meme) desired by the author to be associated with the particular designated primary object. Upon receiving a selection of one or more of these options, the document is modified accordingly to generate the desired meme in the document.