Survey Server Correlating Social Media Text with Participation Metrics
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Solution Overview
Problem
There is a need for a method to analyze social media content related to website user experiences and intentions, as existing methods struggle to correlate survey participation data with social media content due to the free-form nature of social media expressions, making analysis more difficult compared to structured survey responses.
Innovation Solution
A method and system that collect and analyze survey participation data and social media content by generating correlations between words or groups of words in the text with specific metrics, using semantic categorization to associate social media content with user experience and intent metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If social media content is analyzed in free format without structured survey responses, then the analysis difficulty increases, but the ability to capture authentic user opinions improves
Solution Approach 1:
The patent introduces an intermediary processing system that bridges free-form social media content and structured analysis requirements. The system uses natural language processing and semantic analysis as intermediary techniques to translate unstructured social media text into analyzable structured data, thereby maintaining opinion authenticity while reducing analysis difficulty
Solution Approach 2:
The patent transforms the parameter of social media content from unstructured free text into structured data with defined parameters such as sentiment scores, topic categories, and key phrase extractions. This parameter transformation enables the application of structured analysis methods while preserving the essential information from original user expressions
2Ease of operation
If survey participation data and social media content are analyzed independently, then the analysis process is simpler, but the correlation between user experience metrics and social media sentiment is lost
Solution Approach 1:
The patent merges previously independent analysis processes into a unified system. It combines survey participation data analysis with social media content analysis, enabling cross-correlation between structured survey metrics and unstructured social media sentiment while maintaining operational efficiency through integrated processing
3Difficulty of detecting and measuring
If structured survey responses are used, then the analysis is easier, but the flexibility to capture diverse user expressions is reduced
Solution Approach 1:
The patent segments the analysis process into multiple stages: first collecting diverse unstructured social media expressions, then applying natural language processing to extract meaningful segments, and finally mapping these segments to structured analytical categories. This segmentation preserves expression diversity while enabling systematic analysis
Data Source
AI summary
A method and survey server for analyzing social media content based on survey participation data related to a website. The survey server collects survey participation data comprising text and a metric. The survey participation data correspond to survey information received from users of a plurality of user devices in relation to a visit of the website. The survey server analyzes the text of the survey participation data, to generate a correlation between words or groups of words present in the text and the metric. Social media content comprising text and related to a visit of the website is also collected. The text of the social media content is analyzed, to identify the words or groups of words. The social media content comprising the words or groups of words is associated with the metric. The analysis of the text of the survey participation data may comprise performing a semantic categorization.