Dynamic Ad Selection via Content Sentiment Analysis
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Solution Overview
Problem
Existing methods for selecting advertisements during media programs often fail to consider the relevance of advertisements to the actual state of the media content, such as subjects or sentiments, leading to suboptimal engagement with viewers or listeners.
Innovation Solution
A system and method that identifies the creator of a media program by transcribing and analyzing its content, including acoustic features, and matches it with brand advertisements using machine learning models to select relevant ads based on similarity, allowing for real-time adjustment of media content to maximize engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If advertisements are selected based on predicted attributes of viewers or listeners, then advertising reach is maximized, but relevance to actual media program content is not considered
Solution Approach 1:
The system continuously monitors the actual state of the media program (topics, sentiments, emotions) and uses this feedback to dynamically adjust advertisement selection. This closed-loop approach ensures ads remain relevant to current program content while maintaining broad reach through real-time optimization.
Solution Approach 2:
The advertisement selection system transitions from static pre-scheduling to dynamic real-time selection. The system adapts advertisement choices based on changing program states, viewer responses, and contextual factors during live broadcasts, allowing simultaneous optimization for both reach and relevance.
2Ease of operation
If advertisements are aired at desired times regardless of actual program state, then scheduling simplicity is maintained, but engagement with advertisement content is suboptimal
Solution Approach 1:
The system automatically monitors program state, evaluates advertisement relevance, and makes selection decisions without manual intervention. This self-service approach maintains scheduling simplicity while dramatically improving engagement through context-aware ad placement.
Solution Approach 2:
The system pre-loads and prepares multiple candidate advertisements with associated metadata and relevance criteria before program segments begin. This preliminary preparation enables rapid real-time selection without compromising scheduling efficiency or engagement optimization.
3Device complexity
If traditional advertisement selection methods are used, then system complexity is low, but ability to match advertisements to creator and content is poor
Solution Approach 1:
The system introduces an intelligent intermediary layer between program content and advertisement selection. This intermediary analyzes program state, creator attributes, and advertisement characteristics to make matched connections, significantly improving adaptability without requiring complete system redesign.
Solution Approach 2:
The system employs a multi-functional platform that simultaneously performs program analysis, creator profiling, advertisement evaluation, and real-time selection. This universal approach handles diverse content types and advertisement formats through unified processes, scaling adaptability without proportional complexity increases.
Data Source
AI summary
Advertisements for brands that are to be aired during media programs are selected based on similarities between the brands and creators of the media programs. As a media program is being aired, data representing content of a media program is processed to identify words being spoken or sung during the media program and sentiments associated with the media program. The media program is classified based on the words and sentiments, and a classification of the media program is compared to attributes of advertisements to determine which of the advertisements is best suited for airing during the media program. Additionally, a set of words that, if spoken or sung during a media program would establish conditions favorable to a given advertisement may be identified and provided to a creator.