Chatbot Emotion Analysis for Multimedia Summaries
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Solution Overview
Problem
Users face inefficiency and boredom when searching for important or interesting information in lengthy text, image, voice, or video documents, as manually filtering through these multimedia forms is time-consuming and unproductive.
Innovation Solution
A chatbot system that extracts emotion information from multimedia documents and generates summaries based on this analysis, providing users with a concise overview of the content, applicable to text, image, voice, and video formats, using neural networks and knowledge graphs to identify key information and emotions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually search for important information in lengthy multimedia documents, then they can find key information, but it is time-consuming and boring
Solution Approach 1:
The patent replaces the mechanical manual searching process with an automated electronic system that uses natural language processing, emotion analysis, and key information extraction algorithms to automatically identify and present important information from multimedia documents, thereby eliminating the time-consuming manual filtering process while maintaining or improving information extraction accuracy
Solution Approach 2:
The patent introduces an intermediary system (the chatbot with emotion analysis capabilities) that acts as a mediator between the user and the multimedia document content. This intermediary automatically processes the document, extracts emotion information, identifies key segments, and presents summarized results to the user, thus resolving the contradiction between thorough information extraction and time efficiency
2Reliability
If users read, listen, or view the entire document to access important information, then they ensure complete understanding, but productivity decreases
Solution Approach 1:
The patent extracts only the most important and emotionally significant portions of the multimedia document using automated analysis algorithms. The system identifies key information segments, emotion-heavy content, and relevant topics, then presents these extracted elements to the user in a condensed format, maintaining reliability of understanding while dramatically improving productivity by avoiding the need to consume entire documents
Solution Approach 2:
The patent applies partial action by processing and presenting only the necessary portion of the document content rather than the whole. The emotion analysis and key information extraction mechanisms identify and highlight specific segments that contain the most value, allowing users to achieve complete understanding of important information without the excessive time investment of reviewing entire lengthy documents
3Measurement precision
If a chatbot provides detailed responses with matching keywords, then it answers user questions accurately, but the response may be too lengthy and not concise enough
Solution Approach 1:
The patent applies local quality by providing different levels of detail in different parts of the response. The system uses emotion analysis to identify which segments of the document contain the most important or emotionally charged information, then prioritizes these segments in the response with greater detail while summarizing or omitting less critical portions, thereby maintaining response accuracy while improving conciseness and readability
Data Source
AI summary
The present disclosure provides method and apparatus for providing a summary of a multimedia document in a session. In some implementations, a message may be received from a user in a session and the session is between the user and an electronic conversational agent. The multimedia document may be obtained based at least on the message. The emotion information in the multimedia document may be extracted. The summary of the multimedia document may be generated based at least on the message and the extracted emotion information. A response including the generated summary of the multimedia document may be provided to the user.