Author Profiling via Semantic Analysis of Social Media Writings
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Solution Overview
Problem
Existing methods for businesses to assess consumer interests, such as surveys, face low response rates, dishonest responses, and demographic filtering, leading to inaccurate and limited target audience analysis.
Innovation Solution
A system and method for analyzing consumer interests through semantic analysis of writings on social media sites, creating author profiles that identify and correlate topical interests, allowing businesses to effectively market to a broader audience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If surveys are used to assess consumer interests, then businesses can obtain information about consumer preferences, but the response rate is low and accuracy is compromised
Solution Approach 1:
The system enables consumers to self-reveal their interests through their own social media writings and posts. Instead of requiring active participation in surveys, consumers automatically provide interest data through their natural social media behavior, eliminating the need for survey response while capturing authentic interest information.
Solution Approach 2:
The patent introduces social media platforms as an intermediary between consumers and businesses. Rather than directly contacting consumers through surveys, businesses access interest information through social media data, which serves as a neutral mediator that naturally captures consumer preferences without the biases of direct questioning.
2Productivity
If surveys target specific demographic groups, then data collection is focused, but other potential consumers are erroneously excluded
Solution Approach 1:
The system universally accesses social media data from all consumer demographics without exclusion. By leveraging the widespread adoption of social media across diverse populations, the system achieves broad target audience coverage while maintaining efficient data collection through automated social media monitoring and analysis.
3Loss of information
If consumers are asked to fill out surveys, then interest information can be obtained, but consumers may not respond honestly or comprehensively
Solution Approach 1:
The system captures authentic consumer interests through self-expression in social media writings. Consumers naturally reveal their true preferences, hobbies, and concerns through their own words on social media platforms, eliminating the dishonesty and incompleteness associated with survey responses while maintaining high measurement precision.
Data Source
AI summary
Disclosed is an improved method, system, and computer program product for implementing an author profiling tool for receiving data created by a plurality of authors, profiling the plurality of authors by performing semantic analysis upon the data, generating a plurality of author profiles for identifying topics of interest to the author based upon results from the semantic analysis and correlating topics of interest by analyzing the plurality of author profiles to identify common topics between the plurality of authors. These author profiles can be used to identify and correlate topical interests by consumers. An enterprise or business can more effectively market to the consumers based upon this knowledge of the consumers' interests.