Automated Sentiment Analysis Service for Content Feedback
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Solution Overview
Problem
Content creators and organizations face challenges in determining viewer sentiment from overwhelming comments, as they often lack direct access and face delays in processing comments, making it difficult to adjust or promote content effectively.
Innovation Solution
A method and system that utilize a sentiment analysis service to receive comments, preprocess them, send them to a natural language processing service for sentiment indications, and display the analysis in a graphical user interface, allowing users to efficiently determine overall viewer sentiment without manually analyzing each comment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If content creators manually analyze viewer comments to determine sentiment, then they can understand viewer feedback, but the process becomes overwhelming and time-consuming when the number of comments is large
Solution Approach 1:
The patent introduces an automated sentiment analysis service as an intermediary between viewer comments and content creators. This service processes comments and generates sentiment analysis reports, eliminating the need for creators to manually analyze each comment while providing accurate sentiment insights.
Solution Approach 2:
The patent replaces the mechanical manual analysis process with an automated computational system. The sentiment analysis service uses natural language processing and machine learning algorithms to automatically determine sentiment from comments, substituting human manual effort with automated technology.
2Loss of information
If content creators request comments from viewers through formal channels, then they can obtain feedback, but the process experiences delays and may not provide direct access to comments
Solution Approach 1:
The sentiment analysis service acts as an intermediary that directly accesses and processes viewer comments through integrated platforms. This eliminates the need for formal request channels and provides creators with timely access to comment data for analysis.
3Adaptability or versatility
If multiple parties within an organization need to access sentiment analysis of content, then organizational decision-making is improved, but each party facing individual limitations increases overall system complexity
Solution Approach 1:
The patent creates a universal sentiment analysis platform that serves multiple organizational parties simultaneously. The system provides a single interface and service that any authorized user can access, eliminating the need for separate systems or complex permission structures while maintaining security and control.
Data Source
AI summary
Certain aspects of the present disclosure provide techniques for providing sentiment analysis of content. In order to determine the overall sentiment of content, a request is received by a sentiment analyzer, which then identifies a content identification number and retrieves comments associated with the content identification number. The sentiment analyzer pre-processes the comments, which includes removing all personal identifying information from the comments. The sentiment analyzer sends the pre-processed comments to a natural language processing service, and in turn, receives sentiment indications corresponding to the comments provided. Based on the sentiment scores, the sentiment analyzer generates a sentiment analysis and displays the sentiment analysis in the graphical user interface generated by the sentiment analyzer.