Media Sentiment Analysis via Segmented Portion Feedback
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Solution Overview
Problem
Current media interaction technologies do not allow users to effectively provide sentiment-based feedback on specific portions or objects within media content, such as videos or audio files, limiting the ability to analyze and generate reports on user preferences and reactions.
Innovation Solution
A system and method for receiving user input data that includes sentimental identifiers and pressure or time indicators, allowing users to associate sentiments with specific portions of media, which are then aggregated and analyzed to determine average sentiment values, enabling the creation of reports and personalized media experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users provide sentiment feedback on entire media pieces only, then data collection is simple, but the precision of sentiment analysis is insufficient for specific portions or objects
Solution Approach 1:
The patent segments media content into distinct portions and identifies objects within those portions, allowing sentiment feedback to be associated with specific segments rather than the entire media piece. This enables precise sentiment analysis for particular objects or time periods while maintaining a manageable system structure through hierarchical organization of media segments and their associated sentiments.
2Reliability
If the system collects detailed sentimental information including pressure and time data, then the quality of sentiment data improves, but the amount of data to be processed increases
Solution Approach 1:
The patent extracts only the essential sentiment-related features (sentiment identifier, pressure amount, time duration) from user interactions, storing and processing only these critical data points rather than capturing all possible interaction details. This extraction approach maintains high data quality for sentiment analysis while minimizing the overall data volume that requires processing and storage.
3Adaptability or versatility
If users can select from multiple sentimental identifiers, then the versatility of sentiment expression improves, but the complexity of input interface increases
Solution Approach 1:
The patent implements a dynamic interface where the available sentimental identifiers and their arrangements can adapt based on context, such as the type of media being viewed or the user's interaction history. This dynamic adaptation allows the system to provide versatile sentiment expression options while maintaining ease of operation by presenting only the most relevant identifiers in a user-friendly manner at any given moment.
Data Source
AI summary
In accordance with some embodiments, a method for generating sentimental information associated with media content is provided, the method comprising: receiving user input data corresponding to a user; identifying a portion of the media content item based on the user input data; determining a sentiment based on the user input data, wherein the sentiment is one of a positive sentiment which indicates that the media content item was liked by the user or a negative sentiment which indicates that the media content item was disliked by the user; determining an amount of the sentiment based on the user input data; associating the amount of the sentiment with the portion of the media content item; and generating, for the media content item, sentimental information that indicates the amount of the sentiment associated with at least one portion of the media content item.