Emotion Expression Identifier for Search Keyword Emotional Context
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Solution Overview
Problem
Conventional search keyword services do not allow users to intuitively identify the emotions of other users regarding content related to search keywords until they view the content, making it difficult to efficiently find relevant information based on emotional responses.
Innovation Solution
A method and apparatus that collect and display emotion evaluations from users about content related to search keywords, using emotion expression identifiers such as emoticons or emotion statistics charts near the keywords on a Web page, allowing users to intuitively understand the emotional tone of other users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional search keyword services display only keyword rankings and counts, then the system complexity remains low, but users cannot intuitively identify the emotions of other users regarding content related to search keywords
Solution Approach 1:
The patent introduces an emotion expression identifier (such as emoticons or emotion statistics charts) as an intermediary element that mediates between the search keyword system and user emotional responses. This identifier visually represents aggregated emotion evaluations from multiple users, allowing individual users to intuitively grasp emotional context without the system becoming complex. The intermediary translates complex emotional data into simple, recognizable visual symbols.
Solution Approach 2:
The patent creates a visual copy or representation of user emotions through emotion expression identifiers. Instead of displaying raw emotional data or requiring users to read detailed content, the system generates simplified visual copies (emoticons, charts) that represent the emotional sentiment. This copying approach preserves the essential emotional information while maintaining system simplicity and user-friendly presentation.
2Ease of operation
If users must view content directly to detect emotions of other users, then information accuracy is high, but time efficiency and ease of operation deteriorate
Solution Approach 1:
The patent implements preliminary action by pre-aggregating and analyzing emotion evaluations from multiple users before presenting them to the current user. The system collects emotion data, processes it through analysis, and generates emotion expression identifiers in advance. When a user views a search keyword, the emotional context is already prepared and displayed, eliminating the need for the user to manually view content to detect emotions. This preliminary processing significantly reduces time loss while maintaining ease of operation.
3Productivity
If popular search keywords are sorted by counting inputs only, then the service is simple to operate, but users cannot efficiently view keywords related to content of their intended feature based on emotional responses
Solution Approach 1:
The patent adds another dimension to the keyword sorting mechanism by incorporating emotion evaluation data alongside traditional input counting. Instead of sorting keywords solely by numerical input frequency, the system introduces an emotional sentiment dimension through emotion expression identifiers. This allows users to efficiently find keywords related to their intended feature by considering both popularity and emotional resonance, improving content discovery productivity without significantly increasing system complexity.
Data Source
AI summary
Disclosed are a method and apparatus for providing an emotion expression service using an emotion expression identifier. The method includes collecting emotion evaluations of users about content related to a word or a phrase, the emotion evaluations being performed by the users after the users view the content, and displaying an emotion expression identifier representing the collected emotion evaluations of the users in the vicinity of the word or the phrase. The method and apparatus enable a user to intuitively identify emotion expressions of other users (netizens) in relation to a word or phrase such on a Web page such as a portal site.