Live Streaming Script Generation With Structured Tag Fields
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Solution Overview
Problem
Existing live streaming technologies lack the ability to generate text content with clear structure, making it difficult for users to understand and improve their streaming performance, and require inefficient post-practice analysis to identify deficiencies.
Innovation Solution
A method and apparatus that generate text content with structured tags to characterize the content structure, allowing users to configure attribute values through interfaces, and utilize different content generation models to produce targeted text content for live streaming.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic text content generation is used for live streaming, then the efficiency of content preparation is improved, but the clarity of content structure deteriorates
Solution Approach 1:
The generated text content is segmented into distinct structural components using tag fields. Each tag represents a specific content element (e.g., introduction, product features, pricing, conclusion), allowing users to clearly understand the organizational structure of the live streaming script while maintaining automated generation efficiency.
2Loss of information
If structured tag fields are added to text content, then the content structure clarity is improved, but the device complexity increases
Solution Approach 1:
The tag field system serves multiple functions simultaneously: it structures the content, enables automated generation, facilitates user understanding, and supports various content types. This universal approach avoids the need for separate complex systems for each function, thereby managing complexity while providing structured output.
3Manufacturing precision
If detailed attribute configuration is required for text generation, then the text content quality is improved, but the operation complexity increases
Solution Approach 1:
Preset attribute fields and tag structures are pre-configured in the system, allowing users to generate high-quality structured text content by simply selecting or modifying predefined options rather than configuring complex parameters from scratch. This preliminary setup maintains quality while simplifying user operation.
Data Source
AI summary
A text content generation method and apparatus, a medium, an electronic device, and a program product are provided. The method includes: displaying an information configuration interface, the information configuration interface being configured to configure attribute values of preset attribute fields of a to-be-recommended object; and generating target text content in response to a triggered generation operation based on the attribute values configured in the information configuration interface, the target text content being used for live streaming, the target text content including a tag field and text content corresponding to the tag field, the tag field being used to characterize a content structure of the target text content.


