Message Reaction Analysis Using Standardized Sentiment Mapping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing communication services struggle to effectively detect and utilize user reactions to messages during communications sessions, as users often fail to explicitly register reactions through provided interfaces, leading to a suboptimal user experience and inefficient message retrieval.
Innovation Solution
A system that automatically analyzes user reactions using machine learning models to generate standardized reaction data, which is then mapped to proprietary reactions supported by the communication service, enabling seamless integration and recording of user sentiments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users are provided with an interface to register reactions to messages, then user reactions can be captured, but users often fail to explicitly register reactions leading to loss of reaction data
Solution Approach 1:
The system automatically detects and analyzes user reactions without requiring users to manually register them. The machine learning model processes communication data to identify reactions autonomously, eliminating the need for users to interact with reaction registration interfaces while ensuring reaction data is captured.
Solution Approach 2:
The patent replaces the mechanical interface-based reaction registration system with an automated machine learning-based detection system. Instead of requiring users to click or select reactions through an interface, the system uses algorithms to automatically detect and interpret user reactions from communication data.
2Measurement precision
If standardized reaction data is generated through machine learning analysis, then reaction detection accuracy is improved, but system complexity increases
Solution Approach 1:
The patent introduces a machine learning model as an intermediary between raw communication data and reaction detection. This intermediary component processes and interprets communication data to generate standardized reaction data, improving detection accuracy while encapsulating the complexity within a dedicated module that interfaces简单地 with the rest of the system.
3Adaptability or versatility
If proprietary reactions are mapped to standardized reactions, then compatibility across communication services is improved, but data processing complexity increases
Solution Approach 1:
The patent creates a universal mapping system that translates proprietary reactions from different communication services into standardized reaction data. This universal approach allows the system to work with multiple communication services and reaction types through a single standardized interface, improving compatibility while managing complexity through consolidation.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for detecting and analyzing user reactions to messages received. One of the methods includes obtaining reaction data characterizing a reaction of a first user to a communication sent by a second user using a first communication service, wherein the first communication service allows users to react to received communications by selecting from a predetermined set of proprietary reactions that are supported by the first communication service; analyzing the reaction data to generate standardized reaction data that characterizes a sentiment of the reaction of the first user to the communication; mapping the standardized reaction data to one or more proprietary reactions from the predetermined set of proprietary reactions that are supported by the first communication service; and providing, to the first communication service, data identifying the one or more proprietary reactions.