Comment-Summary Interface for Unstructured Text Categorization
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Solution Overview
Problem
Existing systems face challenges in categorizing and summarizing large volumes of unstructured user comments, particularly those associated with news articles or social posts, as they lack predefined categories, making it difficult to extract useful information and sentiment analysis.
Innovation Solution
A comment-summary interface is generated using textual analysis to derive topics and sentiment from unstructured comments, allowing users to access relevant comments by topic instead of scrolling through all comments, employing components like comment-filtering, normalization, clustering, and sentiment-analysis to create a structured summary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If unstructured comments are displayed in full without categorization, then all user feedback is preserved, but users cannot efficiently find relevant comments and computer resources are wasted displaying irrelevant content
Solution Approach 1:
The patent segments unstructured comments into structured groups based on extracted topics. Each comment is analyzed to identify key topics, and comments are then organized into topic-based categories. This segmentation allows users to efficiently navigate to specific topics of interest while preserving access to all original comment content, resolving the contradiction between ease of finding relevant comments and maintaining information accessibility.
2Quantity of substance
If all comments are displayed to ensure complete information access, then no information is lost, but computer resources are inefficiently used and user experience deteriorates due to scrolling through irrelevant content
Solution Approach 1:
The patent extracts topic information from unstructured comments and uses this extracted data to create a filtered view. The system takes out only the essential topic classification information needed for organization, while the full comment content remains preserved in the database. This allows the interface to display only comments relevant to selected topics, improving computer resource efficiency and user experience without losing access to complete comment information.
3Device complexity
If structured input is requested from users to enable categorization, then comment analysis becomes easier, but the system is limited by predefined structures and cannot handle unstructured comments freely
Solution Approach 1:
The patent implements a self-service approach where the system automatically analyzes and categorizes unstructured comments without requiring users to provide structured input. The comment analysis component automatically extracts topics from free-text comments using natural language processing techniques. This self-service automation maintains low system complexity while achieving high adaptability, as the system can handle any unstructured comment format without predefined structures.
Data Source
AI summary
Aspects of the technology described herein generate a comment-summary interface that can help a user find comments of interest to the user. The comment-summary interface allows a user to access comments according to topics instead of scrolling through all of the comments found in a comment section associated with a primary content, such as a news article on a website, a social post, product review, and such. Categorizing the comments into topics makes more efficient use of computer resources by avoiding the need to display comments that are not of interest to the user. The plurality of comments analyzed by aspects of the technology described herein are unstructured comments. Unstructured comments lack specific subject matter categories designated by a user or preselected by a webpage.