Aggregate Sentiment Analysis for Live Media Broadcasting
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Solution Overview
Problem
The decline in live attendance for media events, such as sporting events and concerts, leads to a diminished experience for remote viewers due to the lack of real-time audience reactions, as existing technologies fail to effectively capture and convey the aggregate sentiment of online audience members.
Innovation Solution
A method and system that obtain sentiment data from online audience members through commentary and physical reactions, using neural networks to analyze and determine aggregate sentiments, which are then transmitted back to the media content to enhance the viewing experience by adding graphical depictions, crowd noise, or modifying the media content accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If media content is distributed through online platforms to remote viewers, then accessibility and convenience are improved, but the live audience experience and real-time audience reactions are lost
Solution Approach 1:
The patent creates a virtual copy of the live audience experience by capturing individual viewer reactions through sentiment analysis and aggregating them to simulate collective audience responses. This virtual audience copy is then integrated into the broadcast to restore the missing social atmosphere of live events.
Solution Approach 2:
The patent introduces an intermediary system that acts as a bridge between remote viewers and the media content. This intermediary captures sentiment data from various sources, processes it through neural networks, and generates synthesized audience reactions that are fed back into the broadcast stream, effectively mediating the connection between distributed viewers and the content.
2Productivity
If sentiment data is collected and processed in real-time to determine aggregate sentiments, then audience engagement is improved, but system complexity and processing requirements increase
Solution Approach 1:
The patent segments the complex sentiment analysis task into distinct functional modules: data collection from multiple sources, preprocessing of sentiment data, neural network-based aggregation, and output generation. This modular segmentation allows each component to be optimized independently and facilitates parallel processing, reducing overall system complexity while maintaining real-time capabilities.
Solution Approach 2:
The patent implements partial action by selectively processing sentiment data from key sources and focusing computational resources on determining the most significant aggregate sentiments rather than analyzing every individual data point in exhaustive detail. This approach maintains real-time responsiveness while reducing processing overhead.
3Productivity
If graphical depictions and audio effects are added to represent aggregate sentiments, then viewer experience is enhanced, but bandwidth requirements and data transmission load increase
Solution Approach 1:
The patent applies local quality by selectively adding sentiment representations only at relevant moments in the broadcast rather than continuously. Graphical depictions and audio effects are inserted locally at specific time points where aggregate sentiment changes occur, rather than uniformly throughout the entire media content, thereby reducing overall data transmission requirements while maintaining enhanced viewer experience where most impactful.
Data Source
AI summary
An example method includes obtaining, from a plurality of audience members that are recipients of media content, sentiment data indicating reactions of the plurality of audience members to the media content. The media content includes at least one of audio and video, and the sentiment data includes commentary from the recipients regarding the media content or physical reactions of the audience members to the media content. At least one aggregate sentiment of the plurality of audience members is determined based on the sentiment data. At least one the following is performed: transmitting an indication of the at least one aggregate sentiment to a computing device, and augmenting the media content to indicate the at least one aggregate sentiment to the audience members.