Live Comment Knowledge Base Generation for Video Content
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Solution Overview
Problem
Managing and extracting useful information from a large number of live comments related to video fragments is challenging due to their overwhelming and fast-paced nature, making it difficult for viewers to obtain relevant knowledge.
Innovation Solution
A computer-implemented method and system that processes live comments by extracting features, generating a knowledge base, and creating a graph to classify and organize comments into topics, allowing for the extraction of relevant information and facilitating search queries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If live comments are displayed in real-time without processing, then the immediacy and authenticity of viewer feedback is preserved, but the overwhelming volume and fast-paced nature make it difficult for viewers to obtain relevant knowledge
Solution Approach 1:
The patent introduces an intermediary processing system that acts as a mediator between raw live comments and viewers. This system extracts features from comments, generates knowledge bases, and presents processed information without eliminating the real-time nature of live commenting. The intermediary layer filters and organizes information while preserving the authenticity of viewer feedback.
Solution Approach 2:
The patent applies extraction by identifying and separating useful information from the mass of live comments. Through feature extraction techniques, the system pulls out relevant knowledge points, discussion topics, and valuable insights from the comment stream, presenting them in an organized manner while leaving the original comments intact for reference.
2Loss of information
If all live comments are processed and analyzed in real-time, then comprehensive knowledge extraction is achieved, but the processing time and computational resources required increase significantly
Solution Approach 1:
The patent implements partial processing by focusing on extracting the most salient features and information from live comments rather than analyzing every aspect of each comment in depth. The system processes comments at different levels of detail, applying comprehensive analysis only where necessary while using lighter processing for routine comments, thus balancing completeness with efficiency.
Solution Approach 2:
The system performs preliminary feature extraction on live comments as they arrive, preparing structured data in advance for later knowledge base generation. This preliminary processing organizes comments into manageable formats with extracted features, reducing the computational burden during final knowledge synthesis and enabling faster overall processing.
3Ease of operation
If live comments are organized into a structured knowledge base, then searchability and information retrieval are improved, but the complexity of generating and maintaining the knowledge base increases
Solution Approach 1:
The patent segments the knowledge base into distinct categories and structures based on extracted features from live comments. By organizing information hierarchically into topics, subtopics, and related concepts, the system improves searchability while managing complexity through modular organization. Each segment can be independently processed and maintained.
Solution Approach 2:
The knowledge base system is designed with multi-functionality to handle various types of operations simultaneously - storing raw comments, extracting features, generating structured knowledge, enabling search, and supporting analysis. This universal design consolidates multiple functions into a single integrated system, reducing overall operational complexity despite the diverse capabilities provided.
Data Source
AI summary
Embodiments of the present invention relate to methods, systems, and computer program products for managing a plurality of live comments. A plurality of live comments is obtained for a video, the plurality of live comments being associated with a plurality of fragments in the video, respectively. A plurality of features are extracted from the plurality of live comments, respectively. A knowledge base is generated for the plurality of live comments based on the plurality of features. With these embodiments, the live comments may be managed in an effective way. Further, the knowledge base may provide answers to a user query.